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15 Commits

Author SHA1 Message Date
Rafat Hussain
cb3a9ad29b
Merge pull request #25 from wave-glsl/gh-pages
Decode audio files with AudioContext.decodeAudioData
2020-08-15 09:34:57 +05:30
wave-glsl
6a70d98453
Fixed indentation 2020-08-14 18:57:46 -07:00
wave-glsl
4f005e86c2
Decode audio files with AudioContext 2020-08-14 18:40:55 -07:00
Rafat Hussain
a4f975b5e5 Commit : Denoise updated 2017-09-25 17:51:11 +05:30
Rafat Hussain
7079f43a03 Commit : ngfile.ls edited 2017-08-14 16:50:21 +05:30
Rafat Hussain
55b1ec9159 Commit : Minor Correction ngfile.js 2017-08-14 16:44:47 +05:30
Rafat Hussain
9e08b4e93a Commit : Wavelet Denoising (BETA) added. 2017-08-14 16:33:23 +05:30
Rafat Hussain
32dab0c338 Commit : PLotly added 2016-05-29 17:31:40 +05:30
Rafat Hussain
709e25493b Commit : wavelib modified . Periodic extension zero padding error removed. 2016-01-18 06:22:34 +05:30
Rafat Hussain
04febc4494 Commit : async added 2015-09-30 12:17:57 +05:30
Rafat Hussain
20d02a6b14 Merge remote-tracking branch 'origin' into gh-pages 2015-09-28 14:08:33 +05:30
Rafat Hussain
2501d6fc68 commit : modified display.html 2015-09-28 14:02:17 +05:30
Rafat Hussain
5d7d9af435 Commit : Tentative Release commit 2015-09-27 14:04:43 +05:30
Rafat Hussain
65cbe6e418 COMMIT : Pre-Release commit #1 2015-09-25 17:46:23 +05:30
Rafat Hussain
4645c9b8b9 First pages commit 2015-09-21 17:49:35 +05:30
102 changed files with 237605 additions and 98464 deletions

42
.gitignore vendored
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#Folders Ignore
Bin/
Testing/
.vscode/
#cmake ignore
CMakeCache.txt
CMakeFiles/
CMakeScripts/
Makefile/
cmake_install.cmake
install_manifest.txt
CTestTestfile.cmake
Makefile
#yml
*.yml
#Compiled
*.a
*.o
*.lib
*.so
*.exe
*.dll
#Eclipse
.project
.cproject
language.settings.xml
#tcl
*.tcl
#wavelib-specific
denoised.txt
test/
build/
.vscode/
.DS_Store
*.sh

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sudo: false
language: c
os:
- linux
- osx
compiler:
- gcc
- clang
addons:
apt:
sources:
- ubuntu-toolchain-r-test
matrix:
allow_failures:
- compiler: clang
before_install:
# linux prereqisite packages
- if [ "$TRAVIS_OS_NAME" == "linux" ]; then wget --no-check-certificate https://www.cmake.org/files/v3.2/cmake-3.2.3-Linux-x86_64.tar.gz; fi
- if [ "$TRAVIS_OS_NAME" == "linux" ]; then tar -xzvf cmake-3.2.3-Linux-x86_64.tar.gz; fi
- if [ "$TRAVIS_OS_NAME" == "linux" ]; then export PATH=$PWD/cmake-3.2.3-Linux-x86_64/bin:$PATH; fi
before_script:
script:
- mkdir build.ci && cd build.ci
- cmake .. -DBUILD_UT=ON -DCMAKE_BUILD_TYPE=$BUILD_CONFIG -DUSE_STATIC_BOOST=YES
- cmake --build .
- ctest -VV

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cmake_minimum_required(VERSION 3.15.2)
#
project(WaveLib VERSION 1.0)
#
include(CMakePackageConfigHelpers)
message(STATUS "Platform: " ${CMAKE_HOST_SYSTEM_NAME})
# CMake WindowsC:/Program\ Files/${Project_Name} Linux/Unix/usr/local
message(STATUS "Install prefix: " ${CMAKE_INSTALL_PREFIX})
# CMake
message(STATUS "Build type: " ${CMAKE_BUILD_TYPE})
#
add_subdirectory(src)
add_subdirectory(auxiliary)

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@ -1,5 +1,4 @@
Copyright (c) 2014, Rafat Hussain
Copyright (c) 2016, Holger Nahrstaedt
All rights reserved.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:

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@ -1,29 +1,19 @@
[![Build Status](https://travis-ci.org/rafat/wavelib.svg?branch=master)](https://travis-ci.org/rafat/wavelib)
wavelib
=======
C Implementation of Discrete Wavelet Transform (DWT,SWT and MODWT), Continuous Wavelet transform (CWT) and Discrete Packet Transform ( Full Tree Decomposition and Best Basis DWPT).
C Implementation of Wavelet Transform (DWT,SWT and MODWT)
Discrete Wavelet Transform Methods Implemented
Methods Implemented
DWT/IDWT and DWT2/IDWT2 A decimated Discrete Wavelet Transform implementation using implicit signal extension and up/downsampling so it is a fast implementation. A FFT based implementation is optional but will not be usually needed. Both periodic and symmetric options are available.
DWT/IDWT A decimated Discrete Wavelet Transform implementation using implicit signal extension and up/downsampling so it is a fast implementation. A FFT based implementation is optional but will not be usually needed. Both periodic and symmetric options are available.
SWT/ISWT and SWT2/ISWT2 Stationary Wavelet Transform. It works only for signal lengths that are multiples of 2^J where J is the number of decomposition levels. For signals of other lengths see MODWT implementation.
SWT/ISWT Stationary Wavelet Transform. It works only for signal lengths that are multiples of 2^J where J is the number of decomposition levels. For signals of other lengths see MODWT implementation.
MODWT/IMODWT and MODWT2/IMODWT2 Maximal Overlap Discrete Wavelet Transform is another undecimated transform. It is implemented for signals of any length but only orthogonal wavelets (Daubechies, Symlets and Coiflets) can be deployed. This implementation is based on the method laid out in "Wavelet Methods For Wavelet Analysis" by Donald Percival and Andrew Walden.
Discrete Wavelet Packet Transform Methods Implemented
WTREE A Fully Decimated Wavelet Tree Decomposition. This is a highly redundant transform and retains all coefficients at each node. This is not recommended for compression and denoising applications.
DWPT/IDWPT Is a derivative of WTREE method which retains coefficients based on entropy methods. This is a non-redundant transform and output length is of the same order as the input.
CWT/ICWT C translation ( with some modifications) of Continuous Wavelet Transform Software provided by C. Torrence and G. Compo, and is available at URL: http://atoc.colorado.edu/research/wavelets/'. A generalized Inverse Transform with approximate reconstruction is also added.
MODWT/IMODWT Maximal Overlap Discrete Wavelet Transform is another undecimated transform. It is implemented for signals of any length but only orthogonal wavelets (Daubechies, Symlets and Coiflets) can be deployed. This implementation is based on the method laid out in "Wavelet Methods For Wavelet Analysis" by Donald Percival and Andrew Walden.
Documentation Available at - https://github.com/rafat/wavelib/wiki
Live Demo of 1D DWT and 1D CWT (Emscripten) - http://rafat.github.io/wavelib/
Live Demo (Emscripten) - http://rafat.github.io/wavelib/
License - BSD 3-Clause

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@ -1,19 +0,0 @@
@PACKAGE_INIT@
set(@PROJECT_NAME@_VERSION "@PROJECT_VERSION@")
set_and_check(@PROJECT_NAME@_INSTALL_PREFIX "${PACKAGE_PREFIX_DIR}")
set_and_check(@PROJECT_NAME@_INC_DIR "${PACKAGE_PREFIX_DIR}/include")
set_and_check(@PROJECT_NAME@_INCULDE_DIR "${PACKAGE_PREFIX_DIR}/include")
set_and_check(@PROJECT_NAME@_LIB_DIR "${PACKAGE_PREFIX_DIR}/lib")
set_and_check(@PROJECT_NAME@_LIBRARY_DIR "${PACKAGE_PREFIX_DIR}/lib")
set(@PROJECT_NAME@_LIB wavelib)
set(@PROJECT_NAME@_LIBRARY wavelib)
set(WauxLib_LIB wauxlib)
set(WauxLib_LIBRARY wauxlib)
# include target information
include("${CMAKE_CURRENT_LIST_DIR}/@PROJECT_NAME@Targets.cmake")
check_required_components(@PROJECT_NAME@)

27
about.html Normal file
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<div data-ng-controller="TabsController">
<tabset justified="true" type="pills">
<tab heading="About">
<br/>
<p>Wavelib is a web implementation of C/C++ 1D Wavelet Transform codebase using Emscripten and javascript.</p>
<br/>
<p><b>Requirements</b> : HTML5 compliant modern web browser with javascript enabled. This webapp uses asm.js and angularjs that are not compatible with
older browsers. Internet Explorer >= 10.0</p>
<br/>
<p><b>Inputs</b> : You can enter the data vector using either the file input interface or data input interface. In either case, the input is just a
one dimensional data vector consisting only of numbers and only including common separators like commas or spaces. </p>
</tab>
<tab heading="Code">
<br/>
<p><b>C/C++ Codebase</b> is available at <a href="http://rafat.github.io/#/sites/wavelib/front" target="_blank">my github page</a></p>
<br/>
</tab>
<tab heading="Thanks">
<br/>
<ul>
<li><b>Emscripten</b> : <a href="https://kripken.github.io/emscripten-site/" target="_blank">https://kripken.github.io/emscripten-site/</a></li>
<li><b>Angularjs</b> : <a href="https://angularjs.org" target="_blank">https://angularjs.org</a></a></li>
<li><b>Plotly</b> : <a href="http://plot.ly/" target="_blank">http://plot.ly/</a></a></li>
</ul>
</tab>
</tabset>
</div>

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os: Visual Studio 2015
platform: x64
environment:
BOOST_ROOT: C:\Libraries\boost_1_59_0
BOOST_LIBRARYDIR: C:\Libraries\boost_1_59_0\lib64-msvc-14.0
build_script:
- mkdir build
- cd build
- cmake -G "Visual Studio 14 2015 Win64" -DUSE_STATIC_BOOST=NO ..
- cmake --build . --config Debug
test_script:
- ctest -VV -C Debug

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@ -1,55 +0,0 @@
#
aux_source_directory(. WAUX_SRC)
#
#
# libcmake
add_library(wauxlib SHARED ${WAUX_SRC})
#
add_library(wauxlib_static STATIC ${WAUX_SRC})
#
set_target_properties(wauxlib_static PROPERTIES OUTPUT_NAME "wauxlib")
#
set_target_properties(wauxlib PROPERTIES CLEAN_DIRECT_OUTPUT 1)
set_target_properties(wauxlib_static PROPERTIES CLEAN_DIRECT_OUTPUT 1)
#
set_target_properties(wauxlib PROPERTIES VERSION ${PROJECT_VERSION} SOVERSION ${PROJECT_VERSION_MAJOR}.${PROJECT_VERSION_MINOR})
#
set_target_properties(wauxlib PROPERTIES INSTALL_RPATH /usr/local/lib)
set_target_properties(wauxlib_static PROPERTIES INSTALL_RPATH /usr/local/lib)
target_link_libraries(wauxlib PUBLIC wavelib)
target_link_libraries(wauxlib_static PUBLIC wavelib_static)
#
set(LIBRARY_OUTPUT_PATH ${PROJECT_BINARY_DIR}/lib)
#
set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -O3")
set(CONFIG_FILE_PATH lib/cmake/${PROJECT_NAME})
configure_package_config_file(${PROJECT_SOURCE_DIR}/${PROJECT_NAME}Config.cmake.in
${CMAKE_BINARY_DIR}/${PROJECT_NAME}Config.cmake
INSTALL_DESTINATION ${CONFIG_FILE_PATH})
write_basic_package_version_file(${CMAKE_BINARY_DIR}/${PROJECT_NAME}ConfigVersion.cmake
VERSION ${PROJECT_VERSION}
COMPATIBILITY SameMajorVersion)
#
if(WIN32)
install(TARGETS wauxlib DESTINATION lib)
install(TARGETS wauxlib_static DESTINATION lib)
else()
install(TARGETS wauxlib wauxlib_static
EXPORT ${PROJECT_NAME}Targets
LIBRARY DESTINATION lib
ARCHIVE DESTINATION lib)
install(EXPORT ${PROJECT_NAME}Targets
DESTINATION ${CONFIG_FILE_PATH})
install(FILES
${CMAKE_BINARY_DIR}/${PROJECT_NAME}Config.cmake
${CMAKE_BINARY_DIR}/${PROJECT_NAME}ConfigVersion.cmake
DESTINATION ${CONFIG_FILE_PATH})
endif()

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@ -1,489 +0,0 @@
#include <math.h>
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include "waux.h"
#include "../header/wauxlib.h"
denoise_object denoise_init(int length, int J,const char* wname) {
denoise_object obj = NULL;
obj = (denoise_object)malloc(sizeof(struct denoise_set) +sizeof(double));
obj->N = length;
obj->J = J;
strcpy(obj->wname,wname);
//Set Default Values
strcpy(obj->dmethod,"sureshrink");
strcpy(obj->ext,"sym");
strcpy(obj->level,"all");
strcpy(obj->thresh,"soft");
strcpy(obj->wmethod,"dwt");
strcpy(obj->cmethod,"direct");
return obj;
}
void visushrink(double *signal,int N,int J,const char *wname,const char *method,const char *ext,const char *thresh,const char *level,double *denoised) {
int filt_len,iter,i,dlen,dwt_len,sgn, MaxIter,it;
double sigma,td,tmp;
wave_object wave;
wt_object wt;
double *dout,*lnoise;
wave = wave_init(wname);
filt_len = wave->filtlength;
MaxIter = (int) (log((double)N / ((double)filt_len - 1.0)) / log(2.0));
if (J > MaxIter) {
printf("\n Error - The Signal Can only be iterated %d times using this wavelet. Exiting\n",MaxIter);
exit(-1);
}
wt = wt_init(wave,method,N,J);
if(!strcmp(method,"dwt")) {
setDWTExtension(wt,ext);
dwt(wt,signal);
} else if(!strcmp(method,"swt")) {
swt(wt,signal);
} else {
printf("Acceptable WT methods are - dwt,swt and modwt\n");
exit(-1);
}
lnoise = (double*)malloc(sizeof(double) * J);
//Set sigma
iter = wt->length[0];
dlen = wt->length[J];
dout = (double*)malloc(sizeof(double) * dlen);
if(!strcmp(level,"first")) {
for (i = 1; i < J; ++i) {
iter += wt->length[i];
}
for(i = 0; i < dlen;++i) {
dout[i] = fabs(wt->output[iter+i]);
}
sigma = median(dout,dlen) / 0.6745;
for(it = 0; it < J;++it) {
lnoise[it] = sigma;
}
} else if(!strcmp(level,"all")){
for(it = 0; it < J;++it) {
dlen = wt->length[it+1];
for(i = 0; i < dlen;++i) {
dout[i] = fabs(wt->output[iter+i]);
}
sigma = median(dout,dlen) / 0.6745;
lnoise[it] = sigma;
iter += dlen;
}
} else {
printf("Acceptable Noise estimation level values are - first and all \n");
exit(-1);
}
dwt_len = wt->outlength;
iter = wt->length[0];
for(it = 0; it < J;++it) {
sigma = lnoise[it];
dlen = wt->length[it+1];
td = sqrt(2.0 * log(dwt_len)) * sigma;
if(!strcmp(thresh,"hard")) {
for(i = 0; i < dlen;++i) {
if (fabs(wt->output[iter+i]) < td) {
wt->output[iter+i] = 0;
}
}
} else if(!strcmp(thresh,"soft")) {
for(i = 0; i < dlen;++i) {
if (fabs(wt->output[iter + i]) < td) {
wt->output[iter+i] = 0;
} else {
sgn = wt->output[iter+i] >= 0 ? 1 : -1;
tmp = sgn * (fabs(wt->output[iter+i]) - td);
wt->output[iter+i] = tmp;
}
}
}
iter += wt->length[it+1];
}
if(!strcmp(method,"dwt")) {
idwt(wt,denoised);
} else if(!strcmp(method,"swt")) {
iswt(wt,denoised);
}
free(dout);
free(lnoise);
wave_free(wave);
wt_free(wt);
}
void sureshrink(double *signal,int N,int J,const char *wname,const char *method,const char *ext,const char *thresh,const char *level,double *denoised) {
int filt_len,i,it,len,dlen,dwt_len,min_index,sgn, MaxIter,iter;
double sigma,norm,td,tv,te,ct,thr,temp,x_sum;
wave_object wave;
wt_object wt;
double *dout,*risk,*dsum,*lnoise;
wave = wave_init(wname);
filt_len = wave->filtlength;
MaxIter = (int) (log((double)N / ((double)filt_len - 1.0)) / log(2.0));
// Depends on J
if (J > MaxIter) {
printf("\n Error - The Signal Can only be iterated %d times using this wavelet. Exiting\n",MaxIter);
exit(-1);
}
wt = wt_init(wave,method,N,J);
if(!strcmp(method,"dwt")) {
setDWTExtension(wt,ext);
dwt(wt,signal);
} else if(!strcmp(method,"swt")) {
swt(wt,signal);
} else {
printf("Acceptable WT methods are - dwt and swt\n");
exit(-1);
}
len = wt->length[0];
dlen = wt->length[J];
dout = (double*)malloc(sizeof(double) * dlen);
risk = (double*)malloc(sizeof(double) * dlen);
dsum = (double*)malloc(sizeof(double) * dlen);
lnoise = (double*)malloc(sizeof(double) * J);
iter = wt->length[0];
if(!strcmp(level,"first")) {
for (i = 1; i < J; ++i) {
iter += wt->length[i];
}
for(i = 0; i < dlen;++i) {
dout[i] = fabs(wt->output[iter+i]);
}
sigma = median(dout,dlen) / 0.6745;
for(it = 0; it < J;++it) {
lnoise[it] = sigma;
}
} else if(!strcmp(level,"all")){
for(it = 0; it < J;++it) {
dlen = wt->length[it+1];
for(i = 0; i < dlen;++i) {
dout[i] = fabs(wt->output[iter+i]);
}
sigma = median(dout,dlen) / 0.6745;
lnoise[it] = sigma;
iter += dlen;
}
} else {
printf("Acceptable Noise estimation level values are - first and all \n");
exit(-1);
}
for(it = 0; it < J;++it) {
dwt_len = wt->length[it+1];
sigma = lnoise[it];
if ( sigma < 0.00000001) {
td = 0;
} else {
tv = sqrt(2.0 * log(dwt_len));
norm = 0.0;
for(i = 0; i < dwt_len;++i) {
norm += (wt->output[len+i] *wt->output[len+i] /(sigma*sigma));
}
te =(norm - (double) dwt_len)/(double) dwt_len;
ct = pow(log((double) dwt_len)/log(2.0),1.5)/sqrt((double) dwt_len);
if (te < ct) {
td = tv;
} else {
x_sum = 0.0;
for(i = 0; i < dwt_len;++i) {
dout[i] = fabs(wt->output[len+i]/sigma);
}
qsort(dout, dwt_len, sizeof(double), compare_double);
for(i = 0; i < dwt_len;++i) {
dout[i] = (dout[i]*dout[i]);
x_sum += dout[i];
dsum[i] = x_sum;
}
for(i = 0;i < dwt_len;++i) {
risk[i] = ((double)dwt_len - 2 * ((double)i + 1) +dsum[i] +
dout[i]*((double)dwt_len - 1 -(double) i))/(double)dwt_len;
}
min_index = minindex(risk,dwt_len);
thr = sqrt(dout[min_index]);
td = thr < tv ? thr : tv;
}
}
td = td * sigma;
if(!strcmp(thresh,"hard")) {
for(i = 0; i < dwt_len;++i) {
if (fabs(wt->output[len+i]) < td) {
wt->output[len+i] = 0;
}
}
} else if(!strcmp(thresh,"soft")) {
for(i = 0; i < dwt_len;++i) {
if (fabs(wt->output[len + i]) < td) {
wt->output[len+i] = 0;
} else {
sgn = wt->output[len+i] >= 0 ? 1 : -1;
temp = sgn * (fabs(wt->output[len+i]) - td);
wt->output[len+i] = temp;
}
}
}
len += wt->length[it+1];
}
if(!strcmp(method,"dwt")) {
idwt(wt,denoised);
} else if(!strcmp(method,"swt")) {
iswt(wt,denoised);
}
free(dout);
free(dsum);
free(risk);
free(lnoise);
wave_free(wave);
wt_free(wt);
}
void modwtshrink(double *signal, int N, int J, const char *wname, const char *cmethod, const char *ext, const char *thresh, double *denoised) {
int filt_len, iter, i, dlen, sgn, MaxIter, it;
double sigma, td, tmp, M, llen;
wave_object wave;
wt_object wt;
double *dout, *lnoise;
wave = wave_init(wname);
filt_len = wave->filtlength;
MaxIter = (int)(log((double)N / ((double)filt_len - 1.0)) / log(2.0));
if (J > MaxIter) {
printf("\n Error - The Signal Can only be iterated %d times using this wavelet. Exiting\n", MaxIter);
exit(-1);
}
wt = wt_init(wave, "modwt", N, J);
if (!strcmp(ext, "sym") && !strcmp(cmethod,"fft")) {
setWTConv(wt, "fft");
setDWTExtension(wt, "sym");
}
else if (!strcmp(ext, "sym") && !strcmp(cmethod, "direct")) {
printf("Symmetric Extension is not available for direct method");
exit(-1);
}
else if (!strcmp(ext, "per") && !strcmp(cmethod, "direct")) {
setWTConv(wt, "direct");
setDWTExtension(wt, "per");
}
else if (!strcmp(ext, "per") && !strcmp(cmethod, "fft")) {
setWTConv(wt, "fft");
setDWTExtension(wt, "per");
}
else {
printf("Signal extension can be either per or sym");
exit(-1);
}
modwt(wt, signal);
lnoise = (double*)malloc(sizeof(double)* J);
//Set sigma
iter = wt->length[0];
dlen = wt->length[J];
dout = (double*)malloc(sizeof(double)* dlen);
for (it = 0; it < J; ++it) {
dlen = wt->length[it + 1];
for (i = 0; i < dlen; ++i) {
dout[i] = fabs(wt->output[iter + i]);
}
sigma = sqrt(2.0) * median(dout, dlen) / 0.6745;
lnoise[it] = sigma;
iter += dlen;
}
M = pow(2.0,J);
llen = log((double)wt->modwtsiglength);
// Thresholding
iter = wt->length[0];
for (it = 0; it < J; ++it) {
sigma = lnoise[it];
dlen = wt->length[it + 1];
td = sqrt(2.0 * llen / M) * sigma;
if (!strcmp(thresh, "hard")) {
for (i = 0; i < dlen; ++i) {
if (fabs(wt->output[iter + i]) < td) {
wt->output[iter + i] = 0;
}
}
}
else if (!strcmp(thresh, "soft")) {
for (i = 0; i < dlen; ++i) {
if (fabs(wt->output[iter + i]) < td) {
wt->output[iter + i] = 0;
}
else {
sgn = wt->output[iter + i] >= 0 ? 1 : -1;
tmp = sgn * (fabs(wt->output[iter + i]) - td);
wt->output[iter + i] = tmp;
}
}
}
iter += wt->length[it + 1];
M /= 2.0;
}
imodwt(wt, denoised);
free(dout);
free(lnoise);
wave_free(wave);
wt_free(wt);
}
void denoise(denoise_object obj, double *signal,double *denoised) {
if(!strcmp(obj->dmethod,"sureshrink")) {
if (!strcmp(obj->wmethod, "modwt")) {
printf("sureshrink method only works with swt and dwt. Please use setDenoiseWTMethod to set the correct method\n");
exit(-1);
}
sureshrink(signal,obj->N,obj->J,obj->wname,obj->wmethod,obj->ext,obj->thresh,obj->level,denoised);
} else if(!strcmp(obj->dmethod,"visushrink")) {
if (!strcmp(obj->wmethod, "modwt")) {
printf("visushrink method only works with swt and dwt. Please use setDenoiseWTMethod to set the correct method\n");
exit(-1);
}
visushrink(signal,obj->N,obj->J,obj->wname,obj->wmethod,obj->ext,obj->thresh,obj->level,denoised);;
} else if(!strcmp(obj->dmethod,"modwtshrink")) {
if (strcmp(obj->wmethod, "modwt")) {
printf("modwtshrink method only works with modwt. Please use setDenoiseWTMethod to set the correct method\n");
exit(-1);
}
modwtshrink(signal,obj->N,obj->J,obj->wname,obj->cmethod,obj->ext,obj->thresh,denoised);;
} else {
printf("Acceptable Denoising methods are - sureshrink and visushrink\n");
exit(-1);
}
}
void setDenoiseMethod(denoise_object obj, const char *dmethod) {
if (!strcmp(dmethod, "sureshrink")) {
strcpy(obj->dmethod, "sureshrink");
}
else if (!strcmp(dmethod, "visushrink")) {
strcpy(obj->dmethod, "visushrink");
}
else if (!strcmp(dmethod, "modwtshrink")) {
strcpy(obj->dmethod, "modwtshrink");
}
else {
printf("Acceptable Denoising methods are - sureshrink, visushrink and modwtshrink\n");
exit(-1);
}
}
void setDenoiseWTMethod(denoise_object obj, const char *wmethod) {
if (!strcmp(wmethod, "dwt")) {
strcpy(obj->wmethod, "dwt");
}
else if (!strcmp(wmethod, "swt")) {
strcpy(obj->wmethod, "swt");
}
else if (!strcmp(wmethod, "modwt")) {
strcpy(obj->wmethod, "modwt");
}
else {
printf("Wavelet decomposition method can be one of dwt, modwt or swt.\n");
exit(-1);
}
}
void setDenoiseWTExtension(denoise_object obj, const char *extension) {
if (!strcmp(extension, "sym")) {
strcpy(obj->ext, "sym");
}
else if (!strcmp(extension, "per")) {
strcpy(obj->ext, "per");
}
else {
printf("Signal extension can be either per or sym");
exit(-1);
}
}
void setDenoiseParameters(denoise_object obj, const char *thresh,const char *level) {
//Set thresholding
if (!strcmp(thresh, "soft")) {
strcpy(obj->thresh, "soft");
}
else if (!strcmp(thresh, "hard")) {
strcpy(obj->thresh, "hard");
}
else {
printf("Thresholding Method - soft or hard");
exit(-1);
}
// Set Noise estimation at the first level or at all levels
if (!strcmp(level, "first")) {
strcpy(obj->level, "first");
}
else if (!strcmp(level, "all")) {
strcpy(obj->level, "all");
}
else {
printf("Noise Estimation at level - first or all");
exit(-1);
}
}
void denoise_free(denoise_object object) {
free(object);
}

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@ -1,324 +0,0 @@
#include "../header/wauxlib.h"
#include "waux.h"
int compare_double(const void* a, const void* b)
{
double arg1 = *(const double*)a;
double arg2 = *(const double*)b;
if (arg1 < arg2) return -1;
if (arg1 > arg2) return 1;
return 0;
}
double mean(const double* vec, int N) {
int i;
double m;
m = 0.0;
for (i = 0; i < N; ++i) {
m+= vec[i];
}
m = m / N;
return m;
}
double var(const double* vec, int N) {
double v,temp,m;
int i;
v = 0.0;
m = mean(vec,N);
for (i = 0; i < N; ++i) {
temp = vec[i] - m;
v+= temp*temp;
}
v = v / N;
return v;
}
double median(double *x, int N) {
double sigma;
qsort(x, N, sizeof(double), compare_double);
if ((N % 2) == 0) {
sigma = (x[N/2 - 1] + x[N/2] ) / 2.0;
} else {
sigma = x[N/2];
}
return sigma;
}
double mad(double *x, int N) {
double sigma;
int i;
sigma = median(x,N);
for(i = 0; i < N;++i) {
x[i] = (x[i] - sigma) > 0 ? (x[i] - sigma) : -(x[i] - sigma);
}
sigma = median(x,N);
return sigma;
}
int minindex(const double *arr, int N) {
double min;
int index,i;
min = DBL_MAX;
index = 0;
for(i = 0; i < N;++i) {
if (arr[i] < min) {
min = arr[i];
index = i;
}
}
return index;
}
void getDWTAppx(wt_object wt, double *appx,int N) {
/*
Wavelet decomposition is stored as
[A(J) D(J) D(J-1) ..... D(1)] in wt->output vector
Length of A(J) , N = wt->length[0]
*/
int i;
for (i = 0; i < N; ++i) {
appx[i] = wt->output[i];
}
}
void getDWTDetail(wt_object wt, double *detail, int N, int level) {
/*
returns Detail coefficents at the jth level where j = J,J-1,...,1
and Wavelet decomposition is stored as
[A(J) D(J) D(J-1) ..... D(1)] in wt->output vector
Use getDWTAppx() to get A(J)
Level 1 : Length of D(J), ie N, is stored in wt->length[1]
Level 2 :Length of D(J-1), ie N, is stored in wt->length[2]
....
Level J : Length of D(1), ie N, is stored in wt->length[J]
*/
int i, iter, J;
J = wt->J;
if (level > J || level < 1) {
printf("The decomposition only has 1,..,%d levels", J);
exit(-1);
}
iter = wt->length[0];
for (i = 1; i < J-level; ++i) {
iter += wt->length[i];
}
for (i = 0; i < N; ++i) {
detail[i] = wt->output[i + iter];
}
}
void getDWTRecCoeff(double *coeff,int *length,const char *ctype,const char *ext, int level, int J,double *lpr,
double *hpr,int lf,int siglength,double *reccoeff) {
int i,j,k,det_len,N,l,m,n,v,t,l2;
double *out,*X_lp,*filt;
out = (double*)malloc(sizeof(double)* (siglength + 1));
l2 = lf / 2;
m = -2;
n = -1;
if (!strcmp(ext, "per")) {
if (!strcmp((ctype), "appx")) {
det_len = length[0];
} else {
det_len = length[J - level + 1];
}
N = 2 * length[J];
X_lp = (double*)malloc(sizeof(double)* (N + 2 * lf - 1));
for (i = 0; i < det_len; ++i) {
out[i] = coeff[i];
}
for (j = level; j > 0; --j) {
//idwt1(wt, temp, cA_up, out, det_len, wt->output + iter, det_len, X_lp, X_hp, out);
if (!strcmp((ctype), "det") && j == level) {
filt = hpr;
} else {
filt = lpr;
}
//idwt_per(wt,out, det_len, wt->output + iter, det_len, X_lp);
m = -2;
n = -1;
for (i = 0; i < det_len + l2 - 1; ++i) {
m += 2;
n += 2;
X_lp[m] = 0.0;
X_lp[n] = 0.0;
for (l = 0; l < l2; ++l) {
t = 2 * l;
if ((i - l) >= 0 && (i - l) < det_len) {
X_lp[m] += filt[t] * out[i - l];
X_lp[n] += filt[t + 1] * out[i - l];
}
else if ((i - l) >= det_len && (i-l) < det_len + lf - 1) {
X_lp[m] += filt[t] * out[i - l - det_len];
X_lp[n] += filt[t + 1] * out[i - l - det_len];
}
else if ((i - l) < 0 && (i-l) > -l2) {
X_lp[m] += filt[t] * out[det_len + i - l] ;
X_lp[n] += filt[t + 1] * out[det_len + i - l];
}
}
}
for (k = lf/2 - 1; k < 2 * det_len + lf/2 - 1; ++k) {
out[k - lf/2 + 1] = X_lp[k];
}
if (j != 1) {
det_len = length[J - j + 2];
}
}
free(X_lp);
}
else if (!strcmp(ext, "sym")) {
if (!strcmp((ctype), "appx")) {
det_len = length[0];
} else {
det_len = length[J - level + 1];
}
N = 2 * length[J] - 1;
X_lp = (double*)malloc(sizeof(double)* (N + 2 * lf - 1));
for (i = 0; i < det_len; ++i) {
out[i] = coeff[i];
}
for (j = level; j > 0; --j) {
//idwt1(wt, temp, cA_up, out, det_len, wt->output + iter, det_len, X_lp, X_hp, out);
if (!strcmp((ctype), "det") && j == level) {
filt = hpr;
} else {
filt = lpr;
}
//idwt_sym(wt, out, det_len, wt->output + iter, det_len, X_lp);
m = -2;
n = -1;
for (v = 0; v < det_len; ++v) {
i = v;
m += 2;
n += 2;
X_lp[m] = 0.0;
X_lp[n] = 0.0;
for (l = 0; l < lf / 2; ++l) {
t = 2 * l;
if ((i - l) >= 0 && (i - l) < det_len) {
X_lp[m] += filt[t] * out[i - l];
X_lp[n] += filt[t + 1] * out[i - l];
}
}
}
for (k = lf-2; k < 2 * det_len; ++k) {
out[k - lf + 2] = X_lp[k];
}
if (j != 1) {
det_len = length[J - j + 2];
}
}
free(X_lp);
}
else {
printf("Signal extension can be either per or sym");
exit(-1);
}
for (i = 0; i < siglength; ++i) {
reccoeff[i] = out[i];
}
free(out);
}
void autocovar(const double* vec,int N, double* acov,int M) {
double m,temp1,temp2;
int i,t;
m = mean(vec,N);
if ( M > N) {
M = N-1;
printf("\n Lag is greater than the length N of the input vector. It is automatically set to length N - 1.\n");
printf("\n The Output Vector only contains N calculated values.");
} else if ( M < 0) {
M = 0;
}
for(i = 0; i < M;i++) {
acov[i] = 0.0;
for (t = 0; t < N-i;t++) {
temp1 = vec[t] - m;
temp2 = vec[t+i] - m;
acov[i]+= temp1*temp2;
}
acov[i] = acov[i] / N;
}
}
void autocorr(const double* vec,int N,double* acorr, int M) {
double var;
int i;
if (M > N) {
M = N - 1;
printf("\n Lag is greater than the length N of the input vector. It is automatically set to length N - 1.\n");
printf("\n The Output Vector only contains N calculated values.");
}
else if (M < 0) {
M = 0;
}
autocovar(vec,N,acorr,M);
var = acorr[0];
acorr[0] = 1.0;
for(i = 1; i < M; i++) {
acorr[i] = acorr[i]/var;
}
}

View File

@ -1,47 +0,0 @@
/*
* waux.h
*
* Created on: Aug 22, 2017
* Author: Rafat Hussain
*/
#ifndef AUXILIARY_WAUX_H_
#define AUXILIARY_WAUX_H_
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <float.h>
#include <math.h>
#include "../header/wavelib.h"
#ifdef __cplusplus
extern "C" {
#endif
int compare_double(const void* a, const void* b);
double mean(const double* vec, int N);
double var(const double* vec, int N);
double median(double *x, int N);
int minindex(const double *arr, int N);
void getDWTAppx(wt_object wt, double *appx,int N);
void getDWTDetail(wt_object wt, double *detail, int N, int level);
void autocovar(const double* vec,int N,double* acov, int M);
void autocorr(const double* vec,int N,double* acorr, int M);
#ifdef __cplusplus
}
#endif
#endif /* AUXILIARY_WAUX_H_ */

110
cdisplay.html Normal file
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<div class="row marketing">
<div class="col-md-3"></div>
<div class="col-md-6 col-sm-12">
<select class="wide-control form-control default" data-ng-model="selected.wdisplay"
data-ng-options="wdisplays.indexOf(e) as e for e in wdisplays" data-ng-change="updateGraph()">
<option value=""> Select Outputs </option>
</select>
</div>
<div class="col-md-3"></div>
</div>
<div class="row marketing">
<div class="col-md-3"></div>
<div class="col-md-6 col-sm-12">
<div id="graph1" style="width:100%"></div>
</div>
<div class="col-md-3"></div>
</div>
<div class="row marketing">
<div class="col-md-3"></div>
<div class="col-md-3 col-sm-6">
<button class="btn btn-primary btn-block"><span data-position="right">
</span>Color Scale </button>
<select class="wide-control form-control default" data-ng-model="selected.cscale"
data-ng-options="a.cscale for a in cmap" required>
<option value=""> Select Colorscale </option>
</select>
</div>
<div class="col-md-3 col-sm-6">
<button class="btn btn-primary btn-block"><span data-position="right">
</span>Y Axis </button>
<select class="wide-control form-control default" data-ng-model="selected.yaxis"
data-ng-options="a.yaxis for a in caxis" required>
<option value=""> Select Y Axis </option>
</select>
</div>
<div class="col-md-3"></div>
</div>
<div class="row marketing">
<div class="col-md-3"></div>
<div class="col-md-6 col-sm-12">
<button class="btn btn-primary btn-block"><span data-position="right">
</span>Sampling Period (dt)</button>
<input class="form-control default" type="text" data-ng-model="dt">
</div>
<div class="col-md-3"></div>
</div>
<div class="row marketing">
<div class="col-md-6 col-sm-12">
<button class="btn btn-primary btn-block"><span data-position="right">
</span>Wavelet</button>
<select class="wide-control form-control default" data-ng-model="selected.family"
data-ng-options="a.family for a in cwavedb" required>
<option value=""> Select Wavelet </option>
</select>
</div>
<div class="col-md-6 col-sm-12">
<button class="btn btn-primary btn-block"><span data-position="right">
</span>Parameter</button>
<input class="form-control default" type="text" data-ng-model="param">
</div>
</div>
<div class="row marketing">
<div class="col-md-12 col-sm-12">
<button class="btn btn-primary btn-block"><span data-position="right">
</span>Scale Settings</button>
</div>
</div>
<div class="row marketing">
<div class="col-md-3">
<button class="btn btn-primary btn-block"><span data-position="right">
</span>Type</button>
<select class="wide-control form-control default" data-ng-model="selected.type"
data-ng-options="a.type for a in stype" required>
<option value=""> Scale Type </option>
</select>
</div>
<div class="col-md-3">
<button class="btn btn-primary btn-block"><span data-position="right">
</span>Number of Scales (J)</button>
<input class="form-control default" type="text" data-ng-model="jtot">
</div>
<div class="col-md-3">
<button class="btn btn-primary btn-block"><span data-position="right">
</span>Min (s0)</button>
<input class="form-control default" type="text" data-ng-model="s0">
</div>
<div class="col-md-3">
<button class="btn btn-primary btn-block"><span data-position="right">
</span>Spacing (dj)</button>
<input class="form-control default" type="text" data-ng-model="dj">
</div>
</div>
<div class="row marketing">
<div class="col-md-3">
</div>
<div class="col-md-6">
<button class="btn btn-primary btn-block" data-ng-click="cwaveTest()">
<span class="glyphicon glyphicon-share-alt pull-left" data-position="right"></span>GO</button>
</div>
<div class="col-md-3">
</div>
</div>

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{ "sym3" },
{ "sym4" },
{ "sym5" },
{ "sym6" },
{ "sym7" },
{ "sym8" },
{ "sym9" },
{ "sym10" }
]
}
}

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<div class="row marketing">
<div class="col-md-3"></div>
<div class="col-md-6 col-sm-12">
<select class="wide-control form-control default" data-ng-model="selected.wdisplay"
data-ng-options="wdisplays.indexOf(e) as e for e in wdisplays" data-ng-change="updateGraph()">
<option value=""> Select Outputs </option>
</select>
</div>
<div class="col-md-3"></div>
</div>
<div class="row marketing">
<div class="col-md-12 col-sm-12">
<div id="graph1" style="width:100%"></div>
</div>
</div>
<div class="row marketing">
<div class="col-md-6">
<select class="wide-control form-control default" data-ng-model="selected.dnmethod"
data-ng-options="d.dnmethod for d in dnmethods" required>
<option value=""> Denoising Method </option>
</select>
</div>
<div class="col-md-6">
<select class="wide-control form-control default" data-ng-model="selected.threshold"
data-ng-options="t.threshold for t in thresholds" required>
<option value=""> Thresholding Method </option>
</select>
</div>
<div class="col-md-6">
<select class="wide-control form-control default" data-ng-model="selected.family"
data-ng-options="a.family for a in wavedb" required>
<option value=""> Wavelet Family </option>
</select>
</div>
<div class="col-md-6">
<select class="wide-control form-control default" data-ng-model="selected.wavelet"
data-ng-options="b.wavelet for b in selected.family.wavelets" data-ng-change="getMaxIter()" required>
<option value=""> Wavelet </option>
</select>
</div>
<div class="col-md-6">
<select class="wide-control form-control default" data-ng-model="selected.method"
data-ng-options="c.method for c in methods" required>
<option value=""> Wavelet Methods </option>
</select>
</div>
<div class="col-md-6">
<select class="wide-control form-control default" data-ng-model="selected.level"
data-ng-options="e for e in levels" required>
<option value=""> Decomposition Levels </option>
</select>
</div>
<div class="col-md-6">
<button class="btn btn-primary btn-block" data-ng-click="denoiseSignal()">
<span class="glyphicon glyphicon-share-alt pull-left" data-position="left"></span>GO</button>
</div>
<div class="col-md-6">
<button class="btn btn-primary btn-block" id="reportButton" data-ng-click="viewReport()" disabled>
<span class="glyphicon glyphicon-share-alt pull-left" data-position="left"></span>View Report</button>
</div>
<script type="text/ng-template" id="myModalContent2.html">
<div class="modal-header">
<h3 class="modal-title" style="font-family:Lucida Console;color:black;font-size:large">Wavelet Denoising Output</h3>
</div>
<div class="modal-body" style="font-family:Lucida Console;color:blue;font-size:small">
<p>Method : {{method}} ({{ext}})</p>
<p>Wavelet : {{wname}}</p>
<p>Denoising : {{dnmethod}}</p>
<p>Threshold : {{threshold}}</p>
<p>Decomposition level : {{level}}</p>
<p>Denoised Signal : [<span data-ng-repeat="a1 in appx track by $index">{{a1}} {{$last ? '' : ', '}}</span>]</p>
</div>
<div class="modal-footer">
<!--button class="btn btn-primary" type="button" ng-click="ok()" disabled>OK</button-->
<button class="btn btn-warning" type="button" ng-click="cancel()">Cancel</button>
</div>
</script>
</div>

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<div class="row marketing">
<div class="col-md-3"></div>
<div class="col-md-6 col-sm-12">
<select class="wide-control form-control default" data-ng-model="selected.wdisplay"
data-ng-options="wdisplays.indexOf(e) as e for e in wdisplays" data-ng-change="updateGraph()">
<option value=""> Select Outputs </option>
</select>
</div>
<div class="col-md-3"></div>
</div>
<div class="row marketing">
<div class="col-md-2"></div>
<div class="col-md-8 col-sm-12">
<div id="graph1" style="width:100%"></div>
</div>
<div class="col-md-2"></div>
</div>
<div class="row marketing">
<div class="col-md-6">
<select class="wide-control form-control default" data-ng-model="selected.family"
data-ng-options="a.family for a in wavedb" required>
<option value=""> Wavelet Family </option>
</select>
</div>
<div class="col-md-6">
<select class="wide-control form-control default" data-ng-model="selected.wavelet"
data-ng-options="b.wavelet for b in selected.family.wavelets" data-ng-change="getMaxIter()" required>
<option value=""> Wavelet </option>
</select>
</div>
<div class="col-md-6">
<select class="wide-control form-control default" data-ng-model="selected.method"
data-ng-options="c.method for c in methods" required>
<option value=""> Wavelet Methods </option>
</select>
</div>
<div class="col-md-6">
<select class="wide-control form-control default" data-ng-model="selected.level"
data-ng-options="d for d in levels" required>
<option value=""> Decomposition Levels </option>
</select>
</div>
<div class="col-md-6">
<button class="btn btn-primary btn-block" data-ng-click="waveTest()">
<span class="glyphicon glyphicon-share-alt pull-left" data-position="left"></span>GO</button>
</div>
<div class="col-md-6">
<button class="btn btn-primary btn-block" id="reportButton" data-ng-click="viewReport()" disabled>
<span class="glyphicon glyphicon-share-alt pull-left" data-position="left"></span>View Report</button>
</div>
<script type="text/ng-template" id="myModalContent.html">
<div class="modal-header">
<h3 class="modal-title" style="font-family:Lucida Console;color:black;font-size:large">Wavelet Transform Output</h3>
</div>
<div class="modal-body" style="font-family:Lucida Console;color:blue;font-size:small">
<p>Method : {{method}} ({{ext}})</p>
<p>Wavelet : {{wname}}</p>
<p>Wavelet Filters :</p>
<p>LPD : [<span data-ng-repeat="lp1 in lpd track by $index">{{lp1}} {{$last ? '' : ', '}}</span>]</p>
<p>HPD : [<span data-ng-repeat="hp1 in hpd track by $index">{{hp1}} {{$last ? '' : ', '}}</span>]</p>
<p>LPR : [<span data-ng-repeat="lp2 in lpr track by $index">{{lp2}} {{$last ? '' : ', '}}</span>]</p>
<p>HPR : [<span data-ng-repeat="hp2 in hpr track by $index">{{hp2}} {{$last ? '' : ', '}}</span>]</p>
<p>Decomposition Levels : {{J}}</p>
<p>APPX{{J}} : [<span data-ng-repeat="a1 in appx track by $index">{{a1}} {{$last ? '' : ', '}}</span>]</p>
<div data-ng-repeat="detail in details">
<p>DET : [<span data-ng-repeat="a2 in detail track by $index">{{a2}} {{$last ? '' : ', '}}</span>]</p>
</div>
</div>
<div class="modal-footer">
<!--button class="btn btn-primary" type="button" ng-click="ok()" disabled>OK</button-->
<button class="btn btn-warning" type="button" ng-click="cancel()">Cancel</button>
</div>
</script>
</div>

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<div class="header clearfix">
<h3 class="text-muted">Wavelib : Wavelet Transform Online Demo</h3>
</div>
<div class="row marketing">
<div class="col-md-4">
<div class="panel panel-default">
<div class="panel-heading">
<h4> Test Signals</h4>
</div>
<div class="panel-body">
<button class="btn btn-primary btn-block"><span class="glyphicon glyphicon-hand-down pull-left" data-position="left">
</span>Select Example</button>
<select class="wide-control form-control default" data-ng-model="tvalue" data-ng-change="testInput()" id="testsig1">
<option value=""> SELECT INPUT </option>
<option>Noisy Bumps</option>
<option>Noisy Doppler</option>
<option>Noisy Heavisine</option>
<option>Noisy Piecewise Polynomial</option>
<option>Noisy Piecewise Regular</option>
</select>
</div>
</div>
</div>
<div class="col-md-4">
<div class="panel panel-default">
<div class="panel-heading">
<h4>Data Input</h4>
</div>
<div class="panel-body">
<input class="wide-control form-control default" type="text" data-ng-model="inp1" placeholder="Copy and Paste Data Vector">
<button class="btn btn-primary btn-block" data-ng-click="dataInput()">
<span class="glyphicon glyphicon-share-alt pull-left" data-position="left"></span>GO</button>
</div>
</div>
</div>
<div class="col-md-4">
<div class="panel panel-default">
<div class="panel-heading">
<h4> File Input</h4>
</div>
<div class="panel-body">
<span class="btn btn-block btn-primary btn-file">
Browse<input type="file" id="finp1" ></input>
</span>
<button class="btn btn-primary btn-block" data-ng-click="fileInput()" data-uib="twitter%20bootstrap/button" data-ver="1">
<span class="glyphicon glyphicon-folder-open pull-left" data-position="left"></span>Upload</button>
</div>
</div>
</div>
</div>

60
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<div class="header clearfix">
<h3 class="text-muted">Wavelib : Wavelet Transform Online Demo</h3>
</div>
<div class="row marketing">
<div class="col-md-4">
<div class="panel panel-default">
<div class="panel-heading">
<h4> Test Signals</h4>
</div>
<div class="panel-body">
<button class="btn btn-primary btn-block"><span class="glyphicon glyphicon-hand-down pull-left" data-position="left">
</span>Select Example</button>
<select class="wide-control form-control default" data-ng-model="tvalue" data-ng-change="testInput()" id="testsig1">
<option value=""> SELECT INPUT </option>
<option>ECG</option>
<option>Heavisine</option>
<option>Piecewise Regular 256</option>
<option>Piecewise Regular 2048</option>
<option>Piecewise Polynomial</option>
<option>Noisy Bumps</option>
<option>Noisy Heavisine</option>
<option>El Nino Data</option>
</select>
</div>
</div>
</div>
<div class="col-md-4">
<div class="panel panel-default">
<div class="panel-heading">
<h4>Data Input</h4>
</div>
<div class="panel-body">
<input class="wide-control form-control default" type="text" data-ng-model="inp1" placeholder="Copy and Paste Data Vector">
<button class="btn btn-primary btn-block" data-ng-click="dataInput()">
<span class="glyphicon glyphicon-share-alt pull-left" data-position="left"></span>GO</button>
</div>
</div>
</div>
<div class="col-md-4">
<div class="panel panel-default">
<div class="panel-heading">
<h4> File Input</h4>
</div>
<div class="panel-body">
<span class="btn btn-block btn-primary btn-file">
Browse<input type="file" id="finp1" ></input>
</span>
<button class="btn btn-primary btn-block" data-ng-click="fileInput()" data-uib="twitter%20bootstrap/button" data-ver="1">
<span class="glyphicon glyphicon-folder-open pull-left" data-position="left"></span>Upload</button>
</div>
</div>
</div>
</div>

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@ -1,60 +0,0 @@
/*
Copyright (c) 2017, Rafat Hussain
*/
#ifndef WAUXLIB_H_
#define WAUXLIB_H_
#include "wavelib.h"
#ifdef __cplusplus
extern "C" {
#endif
typedef struct denoise_set* denoise_object;
denoise_object denoise_init(int length, int J,const char* wname);
struct denoise_set{
int N; //signal length
int J; // Levels of Wavelet decomposition
char wname[10]; //Wavelet name
char wmethod[10]; //Wavelet decomposition method - dwt or swt
char cmethod[10]; //Cnvolution Method - direct or fft . Available only for modwt.
// SWT and DWT only use direct method.
char ext[10]; // Signal Extension - sym or per
char thresh[10]; // thresholding - soft or hard
char level[10]; // Noise Estimation level - first or all
char dmethod[20]; //Denoising Method -sureshrink or visushrink
//double params[0];
};
void visushrink(double *signal,int N,int J,const char *wname,const char *method,const char *ext,const char *thresh,const char *level,double *denoised);
void sureshrink(double *signal,int N,int J,const char *wname,const char *method,const char *ext,const char *thresh,const char *level,double *denoised);
void modwtshrink(double *signal, int N, int J, const char *wname, const char *cmethod, const char *ext, const char *thresh, double *denoised);
void denoise(denoise_object obj, double *signal,double *denoised);
void setDenoiseMethod(denoise_object obj, const char *dmethod);
void setDenoiseWTMethod(denoise_object obj, const char *wmethod);
void setDenoiseWTExtension(denoise_object obj, const char *extension);
void setDenoiseParameters(denoise_object obj, const char *thresh,const char *level);
void denoise_free(denoise_object object);
void getDWTRecCoeff(double *coeff,int *length,const char *ctype,const char *ext, int level, int J,double *lpr,
double *hpr,int lf,int siglength,double *reccoeff);
double mad(double *x, int N);
#ifdef __cplusplus
}
#endif
#endif /* WAUXLIB_H_ */

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@ -5,28 +5,13 @@
extern "C" {
#endif
#if defined(_MSC_VER)
#pragma warning(disable : 4200)
#pragma warning(disable : 4996)
#endif
#ifndef fft_type
#define fft_type double
#endif
#ifndef cplx_type
#define cplx_type double
#endif
typedef struct cplx_t {
cplx_type re;
cplx_type im;
} cplx_data;
typedef struct wave_set* wave_object;
wave_object wave_init(const char* wname);
wave_object wave_init(char* wname);
struct wave_set{
char wname[50];
@ -83,14 +68,13 @@ struct conv_set{
typedef struct wt_set* wt_object;
wt_object wt_init(wave_object wave,const char* method, int siglength, int J);
wt_object wt_init(wave_object wave,char* method, int siglength, int J);
struct wt_set{
wave_object wave;
conv_object cobj;
char method[10];
int siglength;// Length of the original signal.
int modwtsiglength; // Modified signal length for MODWT
int outlength;// Length of the output DWT vector
int lenlength;// Length of the Output Dimension Vector "length"
int J; // Number of decomposition Levels
@ -99,215 +83,41 @@ struct wt_set{
char ext[10];// Type of Extension used - "per" or "sym"
char cmethod[10]; // Convolution Method - "direct" or "FFT"
int N; //
int cfftset;
int N; //
int cfftset;
int zpad;
int length[102];
double *output;
double params[0];
};
typedef struct wtree_set* wtree_object;
void dwt11(wt_object wt, double *Vin, int M, double *Wout,
double *Vout);
wtree_object wtree_init(wave_object wave, int siglength, int J);
struct wtree_set{
wave_object wave;
conv_object cobj;
char method[10];
int siglength;// Length of the original signal.
int outlength;// Length of the output DWT vector
int lenlength;// Length of the Output Dimension Vector "length"
int J; // Number of decomposition Levels
int MaxIter;// Maximum Iterations J <= MaxIter
int even;// even = 1 if signal is of even length. even = 0 otherwise
char ext[10];// Type of Extension used - "per" or "sym"
int N; //
int nodes;
int cfftset;
int zpad;
int length[102];
double *output;
int *nodelength;
int *coeflength;
double params[0];
};
typedef struct wpt_set* wpt_object;
wpt_object wpt_init(wave_object wave, int siglength, int J);
struct wpt_set{
wave_object wave;
conv_object cobj;
int siglength;// Length of the original signal.
int outlength;// Length of the output DWT vector
int lenlength;// Length of the Output Dimension Vector "length"
int J; // Number of decomposition Levels
int MaxIter;// Maximum Iterations J <= MaxIter
int even;// even = 1 if signal is of even length. even = 0 otherwise
char ext[10];// Type of Extension used - "per" or "sym"
char entropy[20];
double eparam;
int N; //
int nodes;
int length[102];
double *output;
double *costvalues;
double *basisvector;
int *nodeindex;
int *numnodeslevel;
int *coeflength;
double params[0];
};
typedef struct cwt_set* cwt_object;
cwt_object cwt_init(const char* wave, double param, int siglength,double dt, int J);
struct cwt_set{
char wave[10];// Wavelet - morl/morlet,paul,dog/dgauss
int siglength;// Length of Input Data
int J;// Total Number of Scales
double s0;// Smallest scale. It depends on the sampling rate. s0 <= 2 * dt for most wavelets
double dt;// Sampling Rate
double dj;// Separation between scales. eg., scale = s0 * 2 ^ ( [0:N-1] *dj ) or scale = s0 *[0:N-1] * dj
char type[10];// Scale Type - Power or Linear
int pow;// Base of Power in case type = pow. Typical value is pow = 2
int sflag;
int pflag;
int npad;
int mother;
double m;// Wavelet parameter param
double smean;// Input Signal mean
cplx_data *output;
double *scale;
double *period;
double *coi;
double params[0];
};
typedef struct wt2_set* wt2_object;
wt2_object wt2_init(wave_object wave, const char* method, int rows, int cols, int J);
struct wt2_set{
wave_object wave;
char method[10];
int rows;// Matrix Number of rows
int cols; // Matrix Number of columns
int outlength;// Length of the output DWT vector
int J; // Number of decomposition Levels
int MaxIter;// Maximum Iterations J <= MaxIter
char ext[10];// Type of Extension used - "per" or "sym"
int coeffaccesslength;
int N; //
int *dimensions;
int *coeffaccess;
int params[0];
};
void dwt(wt_object wt, const double *inp);
void dwt(wt_object wt, double *inp);
void idwt(wt_object wt, double *dwtop);
double *getDWTmra(wt_object wt, double *wavecoeffs);
void wtree(wtree_object wt, const double *inp);
void dwpt(wpt_object wt, const double *inp);
void idwpt(wpt_object wt, double *dwtop);
void swt(wt_object wt, const double *inp);
void swt(wt_object wt, double *inp);
void iswt(wt_object wt, double *swtop);
double *getSWTmra(wt_object wt, double *wavecoeffs);
void modwt(wt_object wt, const double *inp);
void modwt(wt_object wt, double *inp);
void imodwt(wt_object wt, double *dwtop);
double* getMODWTmra(wt_object wt, double *wavecoeffs);
void setDWTExtension(wt_object wt, char *extension);
void setDWTExtension(wt_object wt, const char *extension);
void setWTREEExtension(wtree_object wt, const char *extension);
void setDWPTExtension(wpt_object wt, const char *extension);
void setDWT2Extension(wt2_object wt, const char *extension);
void setDWPTEntropy(wpt_object wt, const char *entropy, double eparam);
void setWTConv(wt_object wt, const char *cmethod);
int getWTREENodelength(wtree_object wt, int X);
void getWTREECoeffs(wtree_object wt, int X, int Y, double *coeffs, int N);
int getDWPTNodelength(wpt_object wt, int X);
void getDWPTCoeffs(wpt_object wt, int X, int Y, double *coeffs, int N);
void setCWTScales(cwt_object wt, double s0, double dj, const char *type, int power);
void setCWTScaleVector(cwt_object wt, const double *scale, int J, double s0, double dj);
void setCWTPadding(cwt_object wt, int pad);
void cwt(cwt_object wt, const double *inp);
void icwt(cwt_object wt, double *cwtop);
int getCWTScaleLength(int N);
double* dwt2(wt2_object wt, double *inp);
void idwt2(wt2_object wt,double *wavecoeff, double *oup);
double* swt2(wt2_object wt, double *inp);
void iswt2(wt2_object wt, double *wavecoeffs, double *oup);
double* modwt2(wt2_object wt, double *inp);
void imodwt2(wt2_object wt, double *wavecoeff, double *oup);
double* getWT2Coeffs(wt2_object wt,double* wcoeffs, int level,char *type, int *rows, int *cols);
void dispWT2Coeffs(double *A, int row, int col);
void setWTConv(wt_object wt, char *cmethod);
void wave_summary(wave_object obj);
void wt_summary(wt_object wt);
void wtree_summary(wtree_object wt);
void wpt_summary(wpt_object wt);
void cwt_summary(cwt_object wt);
void wt2_summary(wt2_object wt);
void wave_free(wave_object object);
void wt_free(wt_object object);
void wtree_free(wtree_object object);
void wpt_free(wpt_object object);
void cwt_free(cwt_object object);
void wt2_free(wt2_object wt);
#ifdef __cplusplus
}
@ -315,3 +125,5 @@ void wt2_free(wt2_object wt);
#endif /* WAVELIB_H_ */

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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8" />
<title>Wavelets Online</title>
<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.2/css/bootstrap.min.css">
<link rel="stylesheet" href="stylesheets/free.css">
<script src="js/ie-emulation-modes-warning.js"></script>
</head>
<body data-ng-app="ngmain">
<nav class="navbar navbar-inverse navbar-fixed-top" role="navigation">
<div class="container">
<!-- Brand and toggle get grouped for better mobile display -->
<div class="navbar-header">
<button type="button" class="navbar-toggle" data-toggle="collapse" data-target="#bs-example-navbar-collapse-1">
<span class="sr-only">Toggle navigation</span>
<span class="icon-bar"></span>
<span class="icon-bar"></span>
<span class="icon-bar"></span>
</button>
<a class="navbar-brand" href="index.html">Wavelib</a>
</div>
<!-- Collect the nav links, forms, and other content for toggling -->
<div class="collapse navbar-collapse" id="bs-example-navbar-collapse-1">
<ul class="nav navbar-nav navbar-right">
<li>
<a href="#/">Inputs</a>
</li>
<li>
<a href="#/about">About</a>
</li>
<li>
<a href="http://rafat.github.io">rafat.github.io</a>
</li>
</li>
</ul>
</div>
<!-- /.navbar-collapse -->
</div>
<!-- /.container -->
</nav>
<div class="container">
<div data-ng-view></div>
<footer class="footer">
<p><!--&copy; Rafat Hussain 2015--></p>
</footer>
</div> <!-- /container -->
<!-- IE10 viewport hack for Surface/desktop Windows 8 bug -->
<script src="js/ie10-viewport-bug-workaround.js"></script>
<script async src="js/wavelib.js"></script>
<!--<script src="js/index_user_scripts.js"></script> -->
<!--<script src="js/dygraph-combined-dev.js"></script>-->
<!--<script async src="js/plotly.min.js"></script>-->
<script async src="https://cdn.plot.ly/plotly-1.5.0.min.js"></script>
<script src="https://ajax.googleapis.com/ajax/libs/angularjs/1.3.5/angular.min.js"></script>
<script src="https://ajax.googleapis.com/ajax/libs/angularjs/1.3.5/angular-route.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/angular-ui-bootstrap/0.13.0/ui-bootstrap-tpls.min.js"></script>
<script src="js/ngfile.js"></script>
</body>
</html>

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@ -1,54 +0,0 @@
#!/bin/bash
if [[ $# == 0 || ${1} == "help" ]]; then
echo "Compiles executables/libraries and maintains installed files. Two tools 'Cmake' and 'stow' are empolyed here. For more information, see https://cmake.org and https://www.gnu.org/software/stow/."
echo ""
echo "School of Earth Sciences, Zhejiang University"
echo "Yi Zhang (yizhang-geo@zju.edu.cn)"
echo ""
echo "Usage: ./config.sh [option] [Cmake options]"
echo ""
echo "Options:"
echo "(1) configure: Configure Cmake project(s). This option could take extra Cmake options as in <option>=<value>."
echo "(2) build: Build executables/libraries."
echo "(3) install: Install executables/libraries to the directory of CMAKE_INSTALL_PREFIX and sym-links them to the target address. This offers a quick and clean remove of the installed files."
echo "(4) clean: Clean build/ folder(s)."
echo "(5) uninstall: Delete the installed files and sym-links."
echo "(6) info: Print out current setups."
echo "(7) help: Show help information."
exit 0
fi
package=wavelib
address=/opt/stow
taress=/usr/local
option="-DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=${address}/${package}"
if [[ $# -gt 1 ]]; then
for opt in "$@"; do
if [[ ${opt} != "configure" ]]; then
option="${option} -D${opt}"
fi
done
fi
if [[ ${1} == "configure" && ! -d "build/" ]]; then
mkdir build && cd build && cmake .. ${option}
elif [[ ${1} == "configure" ]]; then
cd build && rm -rf * && cmake .. ${option}
elif [[ ${1} == "build" ]]; then
cd build && make
elif [[ ${1} == "install" ]]; then
cd build && sudo make install
sudo stow --dir=${address} --target=${taress} -S ${package}
elif [[ ${1} == "clean" ]]; then
rm -rf build/
elif [[ ${1} == "uninstall" ]]; then
sudo stow --dir=${address} --target=${taress} -D ${package}
sudo rm -rf ${address}/${package}
elif [[ ${1} == "info" ]]; then
echo "package name:" ${package}
echo "stow address:" ${address}
echo "target address:" ${taress}
echo "Cmake options:" ${option}
fi

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/*
AngularJS v1.3.14
(c) 2010-2014 Google, Inc. http://angularjs.org
License: MIT
*/
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//# sourceMappingURL=angular-route.min.js.map

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/*
AngularJS v1.3.11
(c) 2010-2014 Google, Inc. http://angularjs.org
License: MIT
*/
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d)}):m.addOption(e.value,d);d.on("$destroy",function(){m.removeOption(e.value)})}}}}],Xd=da({restrict:"E",terminal:!1}),zc=function(){return{restrict:"A",require:"?ngModel",link:function(a,c,d,e){e&&(d.required=!0,e.$validators.required=function(a,c){return!d.required||!e.$isEmpty(c)},d.$observe("required",function(){e.$validate()}))}}},yc=function(){return{restrict:"A",require:"?ngModel",link:function(a,c,d,e){if(e){var f,g=d.ngPattern||d.pattern;d.$observe("pattern",function(a){F(a)&&0<a.length&&
(a=new RegExp("^"+a+"$"));if(a&&!a.test)throw T("ngPattern")("noregexp",g,a,va(c));f=a||t;e.$validate()});e.$validators.pattern=function(a){return e.$isEmpty(a)||A(f)||f.test(a)}}}}},Bc=function(){return{restrict:"A",require:"?ngModel",link:function(a,c,d,e){if(e){var f=-1;d.$observe("maxlength",function(a){a=ba(a);f=isNaN(a)?-1:a;e.$validate()});e.$validators.maxlength=function(a,c){return 0>f||e.$isEmpty(a)||c.length<=f}}}}},Ac=function(){return{restrict:"A",require:"?ngModel",link:function(a,c,
d,e){if(e){var f=0;d.$observe("minlength",function(a){f=ba(a)||0;e.$validate()});e.$validators.minlength=function(a,c){return e.$isEmpty(c)||c.length>=f}}}}};M.angular.bootstrap?console.log("WARNING: Tried to load angular more than once."):(Nd(),Pd(ga),B(Y).ready(function(){Jd(Y,sc)}))})(window,document);!window.angular.$$csp()&&window.angular.element(document).find("head").prepend('<style type="text/css">@charset "UTF-8";[ng\\:cloak],[ng-cloak],[data-ng-cloak],[x-ng-cloak],.ng-cloak,.x-ng-cloak,.ng-hide:not(.ng-hide-animate){display:none !important;}ng\\:form{display:block;}</style>');
//# sourceMappingURL=angular.min.js.map

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/*
* Please see the included README.md file for license terms and conditions.
*/
// This file is a suggested starting place for your code.
// It is completely optional and not required.
// Note the reference that includes it in the index.html file.
/*jslint browser:true, devel:true, white:true, vars:true */
/*global $:false, intel:false app:false, dev:false, cordova:false */
// This file contains your event handlers, the center of your application.
// NOTE: see app.initEvents() in init-app.js for event handler initialization code.
// function myEventHandler() {
// "use strict" ;
// // ...event handler code here...
// }
// ...additional event handlers here...
var wave = {};

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// NOTICE!! DO NOT USE ANY OF THIS JAVASCRIPT
// IT'S JUST JUNK FOR OUR DOCS!
// ++++++++++++++++++++++++++++++++++++++++++
/*!
* Copyright 2014 Twitter, Inc.
*
* Licensed under the Creative Commons Attribution 3.0 Unported License. For
* details, see http://creativecommons.org/licenses/by/3.0/.
*/
// Intended to prevent false-positive bug reports about Bootstrap not working properly in old versions of IE due to folks testing using IE's unreliable emulation modes.
(function () {
'use strict';
function emulatedIEMajorVersion() {
var groups = /MSIE ([0-9.]+)/.exec(window.navigator.userAgent)
if (groups === null) {
return null
}
var ieVersionNum = parseInt(groups[1], 10)
var ieMajorVersion = Math.floor(ieVersionNum)
return ieMajorVersion
}
function actualNonEmulatedIEMajorVersion() {
// Detects the actual version of IE in use, even if it's in an older-IE emulation mode.
// IE JavaScript conditional compilation docs: http://msdn.microsoft.com/en-us/library/ie/121hztk3(v=vs.94).aspx
// @cc_on docs: http://msdn.microsoft.com/en-us/library/ie/8ka90k2e(v=vs.94).aspx
var jscriptVersion = new Function('/*@cc_on return @_jscript_version; @*/')() // jshint ignore:line
if (jscriptVersion === undefined) {
return 11 // IE11+ not in emulation mode
}
if (jscriptVersion < 9) {
return 8 // IE8 (or lower; haven't tested on IE<8)
}
return jscriptVersion // IE9 or IE10 in any mode, or IE11 in non-IE11 mode
}
var ua = window.navigator.userAgent
if (ua.indexOf('Opera') > -1 || ua.indexOf('Presto') > -1) {
return // Opera, which might pretend to be IE
}
var emulated = emulatedIEMajorVersion()
if (emulated === null) {
return // Not IE
}
var nonEmulated = actualNonEmulatedIEMajorVersion()
if (emulated !== nonEmulated) {
window.alert('WARNING: You appear to be using IE' + nonEmulated + ' in IE' + emulated + ' emulation mode.\nIE emulation modes can behave significantly differently from ACTUAL older versions of IE.\nPLEASE DON\'T FILE BOOTSTRAP BUGS based on testing in IE emulation modes!')
}
})();

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/*!
* IE10 viewport hack for Surface/desktop Windows 8 bug
* Copyright 2014 Twitter, Inc.
* Licensed under the Creative Commons Attribution 3.0 Unported License. For
* details, see http://creativecommons.org/licenses/by/3.0/.
*/
// See the Getting Started docs for more information:
// http://getbootstrap.com/getting-started/#support-ie10-width
(function () {
'use strict';
if (navigator.userAgent.match(/IEMobile\/10\.0/)) {
var msViewportStyle = document.createElement('style')
msViewportStyle.appendChild(
document.createTextNode(
'@-ms-viewport{width:auto!important}'
)
)
document.querySelector('head').appendChild(msViewportStyle)
}
})();

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(function()
{
"use strict";
/*
hook up event handlers
*/
function register_event_handlers()
{
/* button .uib_w_2 */
$(document).on("click", ".uib_w_2", function(evt)
{
var x = $("#inp1").val().split(/[\s,;\t\r\n]+/);
wave.sigData = new Float64Array(x.length);
wave.sigLength = x.length;
var i;
for(i = 0;i < x.length;i++) {
wave.sigData[i] = parseFloat(x[i]);
}
alert(wave.sigData[2]);
displayPage();
});
/* button .uib_w_4 */
$(document).on("click", ".uib_w_4", function(evt)
{
var fileinput = document.getElementById('finp1');
var finp1 = fileinput.files[0];
var reader = new FileReader();
reader.onload = function(e) {
var x = reader.result.split(/[\s,;\t\r\n]+/);
wave.sigData = new Float64Array(x.length);
wave.sigLength = x.length;
var i;
for(i = 0;i < x.length;i++) {
wave.sigData[i] = parseFloat(x[i]);
}
alert(wave.sigData[0]);
displayPage();
}
reader.readAsText(finp1);
});
}
document.addEventListener("app.Ready", register_event_handlers, false);
})();
$(document).ready(function(){
$('#testsig1').change(function(){
var value = $(this).val();
var urlx = null;
if (value == "ECG") {
urlx = "https://raw.githubusercontent.com/rafat/rafat.github.io/master/sites/wavelib/data/ecg.txt";
} else if (value == "Heavisine") {
urlx = "https://raw.githubusercontent.com/rafat/rafat.github.io/master/sites/wavelib/data/heavisine.txt";
} else if (value == "Piecewise Regular 256") {
urlx = "https://raw.githubusercontent.com/rafat/rafat.github.io/master/sites/wavelib/data/pieceregular.txt";
} else if (value == "Piecewise Regular 2048") {
urlx = "https://raw.githubusercontent.com/rafat/rafat.github.io/master/sites/wavelib/data/pieceregular2048.txt";
} else if (value == "Piecewise Polynomial") {
urlx = "https://raw.githubusercontent.com/rafat/rafat.github.io/master/sites/wavelib/data/piecepoly.txt";
} else if (value == "Noisy Bumps") {
urlx = "https://raw.githubusercontent.com/rafat/rafat.github.io/master/sites/wavelib/data/noisybumps.txt";
} else if (value == "Noisy Heavisine") {
urlx = "https://raw.githubusercontent.com/rafat/rafat.github.io/master/sites/wavelib/data/noisyheavisine.txt";
} else {
alert("Please Select A Signal To Proceed.");
}
console.log(urlx);
$.ajax({
type: "GET",
url: urlx,
success: function(data) {
var x = data.split(/[\s,;\t\r\n]+/);
wave.sigData = new Float64Array(x.length);
wave.sigLength = x.length;
var i;
for(i = 0;i < x.length;i++) {
wave.sigData[i] = parseFloat(x[i]);
}
console.log(wave.sigLength);
alert(wave.sigData[0]);
displayPage();
},
error: function() {
alert("Signal cannot be loaded. Please try again.")
}
});
});
});

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var flength = function (str) {
filtlength = Module.cwrap('filtlength', 'number', ['string']);
return filtlength(str);
};
function zeroArray(length) {
var array = [];
for (var i = 0; i < length; i++) {
array[i] = 0;
}
return array;
}
function sigdata() {
var sigdata = [ -18.3237,-18.2232,-18.0974,-17.9410,-17.7480,-17.5113,-17.2230,-16.8744,-16.4558,-15.9565,-15.3653,-14.6701,-13.8586,-12.9182,
-11.8363,-10.6008,-9.2006,-7.6257,-5.8680,-3.9217,-1.7839,0.5452,3.0614,5.7562,8.6167,11.6252,14.7591,17.9909,21.2884,24.6155,27.9319,
31.1947,34.3587,37.3775,40.2049,42.7957,13.2164,14.2125,15.0317,15.6595,16.0845,16.2990,16.2990,16.0845,15.6595,15.0317,14.2125,13.2164,
12.0608,10.7654,9.3517,34.3587,31.1947,27.9319,24.6155,21.2884,17.9909,14.7591,11.6252,8.6167,5.7562,3.0614,0.5452,-1.7839,-3.9217,-5.8680,
-7.6257,-9.2006,-10.6008,-11.8363,-12.9182,-13.8586,-14.6701,-15.3653,-15.9565,-16.4558,-16.8744,-17.2230,-17.5113,-17.7480,-17.9410,-18.0974,
-18.2232,-18.3237,-18.4035,-18.0080,-17.8889,-17.7403,-17.5533,-17.3156,-17.0102,-16.6129,-16.0884,-15.3848,-14.4239,-13.0840,-11.1708,-8.3634,
-4.1098,2.5833,13.6048,32.7934,28.0187,10.9660,1.0776,-4.9459,-8.7354,-11.1225,-12.4865,-12.8019,-11.2050,-3.3124,1.8995,-11.3573,-15.0684,
-16.5028,-17.1937,-17.5831,-17.8288,-17.9968,-18.1185,-18.2103,-18.2818,-18.3388,-18.3849,-18.4229,-18.4545,-18.4810,-17.4642,-17.2104,-16.9033,
-16.5317,-16.0822,-15.5384,-14.8804,-14.0844,-13.1214,-11.9563,-10.5467,-8.8414,-6.7782,-4.2822,-1.2624,2.3911,6.8111,12.1585,18.6280,26.4549,
35.9241,35.9241,26.4549,18.6280,12.1585,6.8111,2.3911,-1.2624,-4.2822,-6.7782,-8.8414,-10.5467,-11.9563,-13.1214,-14.0844,-14.8804,-15.5384,
-16.0822,-16.5317,-16.9033,-17.2104,-17.4642,-18.6741,-18.6741,-18.6741,-18.6741,-18.6741,-18.6741,-18.6741,-18.6741,-18.6741,-18.6741,-18.6741,
-18.6741,6.3259,6.3259,6.3259,6.3259,6.3259,6.3259,6.3259,6.3259,6.3259,6.3259,6.3259,6.3259,6.3259,6.3259,6.3259,6.3259,6.3259,6.3259,6.3259,
6.3259,6.3259,6.3259,6.3259,6.3259,34.8066,34.6752,34.5285,34.3645,34.1812,33.9763,33.7474,33.4917,33.2058,32.8863,32.5294,32.1304,31.6846,31.1864,
30.6296,30.0074,29.3121,28.5350,27.6667,26.6963,25.6118,24.3999,23.0456,21.5322,19.8408,17.9507,15.8385,13.4781,10.8403,7.8925,4.5982,0.9168,-3.1972,
-7.7947,-12.932,-18.6741,-18.6741,-18.6741,-18.6741,-18.6741,-18.6741,-18.6741,-18.6741,-18.6741,-18.6741,-18.6741,-18.6741,-18.6741,-18.6741,-18.3237];
return sigdata;
}
var fcoef = function (str) {
fcoef = Module.cwrap('filtcoef', 'number', ['string', 'number', 'number', 'number', 'number']);
var length = flength(str);
var lpd = new Float64Array(length);
var hpd = new Float64Array(length);
var lpr = new Float64Array(length);
var hpr = new Float64Array(length);
var lbl = new Uint8Array(length);
for (var i = 0; i < length; ++i) {
lpd[i] = hpd[i] = lpr[i] = hpr[i] = 0.0;
lbl[i] = i;
}
var size = 8 * length;
var ptr1 = Module._malloc(size);
var ptr2 = Module._malloc(size);
var ptr3 = Module._malloc(size);
var ptr4 = Module._malloc(size);
var buf1 = new Uint8Array(Module.HEAPU8.buffer, ptr1, size);
var buf2 = new Uint8Array(Module.HEAPU8.buffer, ptr2, size);
var buf3 = new Uint8Array(Module.HEAPU8.buffer, ptr3, size);
var buf4 = new Uint8Array(Module.HEAPU8.buffer, ptr4, size);
buf1.set(new Uint8Array(lpd.buffer));
buf2.set(new Uint8Array(hpd.buffer));
buf3.set(new Uint8Array(lpr.buffer));
buf4.set(new Uint8Array(hpr.buffer));
var t = fcoef(str, buf1.byteOffset, buf2.byteOffset, buf3.byteOffset, buf4.byteOffset);
var lpd = new Float64Array(buf1.buffer, buf1.byteOffset, length);
var hpd = new Float64Array(buf2.buffer, buf2.byteOffset, length);
var lpr = new Float64Array(buf3.buffer, buf3.byteOffset, length);
var hpr = new Float64Array(buf4.buffer, buf4.byteOffset, length);
Module._free(buf1);
Module._free(buf2);
Module._free(buf3);
Module._free(buf4);
console.log(lpd);
console.log(hpd);
console.log(lpr);
console.log(hpr);
$('#canvas-holder').append("<div class='row' />");
$('#canvas-holder').append("<div class='row' />");
for (var i = 0; i < 2; ++i) {
$('.row').append("<div class='col-md-6' />");
}
var newCanvas = $('<canvas/>',{
id: 'canvas1'
});
$('.col-md-6:eq(0)').append(newCanvas);
var newCanvas2 = $('<canvas/>',{
id: 'canvas2'
});
$('.col-md-6:eq(1)').append(newCanvas2);
var newCanvas3 = $('<canvas/>',{
id: 'canvas3'
});
$('.col-md-6:eq(2)').append(newCanvas3);
var newCanvas4 = $('<canvas/>',{
id: 'canvas4'
});
$('.col-md-6:eq(3)').append(newCanvas4);
var barChartData = {
labels: lbl,
datasets: [
{
fillColor: "rgba(255,0,0,0.5)",
strokeColor: "rgba(255,0,0,0.8)",
highlightFill: "rgba(255,0,0,0.75)",
highlightStroke: "rgba(255,0,0,1)",
data: lpd
},
]
}
var barChartData2 = {
labels: lbl,
datasets: [
{
fillColor: "rgba(0,0,255,0.5)",
strokeColor: "rgba(0,0,255,0.8)",
highlightFill: "rgba(0,0,255,0.75)",
highlightStroke: "rgba(0,0,255,1)",
data: hpd
},
]
}
var barChartData3 = {
labels: lbl,
datasets: [
{
fillColor: "rgba(255,0,0,0.5)",
strokeColor: "rgba(255,0,0,0.8)",
highlightFill: "rgba(255,0,0,0.75)",
highlightStroke: "rgba(255,0,0,1)",
data: lpr
},
]
}
var barChartData4 = {
labels: lbl,
datasets: [
{
fillColor: "rgba(0,0,255,0.5)",
strokeColor: "rgba(0,0,255,0.8)",
highlightFill: "rgba(0,0,255,0.75)",
highlightStroke: "rgba(0,0,255,1)",
data: hpr
},
]
}
window.onload = function () {
var ctx = document.getElementById("canvas1").getContext("2d");
window.myBar = new Chart(ctx).Bar(barChartData, {
responsive: true
});
var ctx2 = document.getElementById("canvas2").getContext("2d");
window.myBar = new Chart(ctx2).Bar(barChartData2, {
responsive: true
});
var ctx3 = document.getElementById("canvas3").getContext("2d");
window.myBar = new Chart(ctx3).Bar(barChartData3, {
responsive: true
});
var ctx4 = document.getElementById("canvas4").getContext("2d");
window.myBar = new Chart(ctx4).Bar(barChartData4, {
responsive: true
});
}
}
var frontpage = function () {
//$('#canvas-holder').append("<img src='img/3dgausswave.png' />");
$('#canvas-holder').append("<div class='row' />");
//$('#canvas-holder').append("<div class='row' />");
//for (var i = 0; i < 2; ++i) {
// $('.row').append("<div class='col-md-6' />");
//}
//$('.col-md-6').append("<img src='img/3dgauss.jpg' />");
//$row.append("<div class='col-md-6' />").append("<img src='img/3dgauss.jpg' />");
$('.row').append("<div class='col-md-3' />");
$('.row').append("<div class='col-md-6' />");
$('.row').append("<div class='col-md-3' />");
var sig = sigdata();
var length = sig.length;
var lbl = [];
for (i = 0; i < length; ++i) {
lbl[i] = i;
}
var sigChartData = {
labels: lbl,
datasets: [
{
label: "Input Signal",
fillColor: "rgba(151,187,205,0.2)",
strokeColor: "rgba(151,187,205,1)",
pointColor: "rgba(151,187,205,1)",
pointStrokeColor: "#fff",
pointHighlightFill: "#fff",
pointHighlightStroke: "rgba(151,187,205,1)",
data: sig
},
]
}
var newCanvas = $('<canvas/>',{
id: 'canvas1'
});
$('.col-md-6').append(newCanvas);
window.onload = function () {
var ctx = document.getElementById("canvas1").getContext("2d");
window.myBar = new Chart(ctx).Line(sigChartData, {
responsive: true
});
}
}
var frontpage2 = function () {
//$('#canvas-holder').append("<img src='img/3dgausswave.png' />");
$('#canvas-holder').append("<div class='row' />");
//$('#canvas-holder').append("<div class='row' />");
//for (var i = 0; i < 2; ++i) {
// $('.row').append("<div class='col-md-6' />");
//}
//$('.col-md-6').append("<img src='img/3dgauss.jpg' />");
//$row.append("<div class='col-md-6' />").append("<img src='img/3dgauss.jpg' />");
$('.row').append("<div class='col-md-4' />");
$('.row').append("<div class='col-md-4' />");
$('.row').append("<div class='col-md-4' />");
var sig = sigdata();
var length = sig.length;
var lbl = [];
for (i = 0; i < length; ++i) {
lbl[i] = [i, sig[i]];
}
$('.starter-template').empty();
$('.starter-template').append("<div id='graph' style='margin:0 auto' />");
g = new Dygraph(document.getElementById("graph"),
lbl,
{
legend: 'always',
color: '#3399ff',
animatedZooms: true,
title: 'Input'
});
$('.col-md-4:eq(0)').append("<div class='input-group' />");
$('.input-group').append("<input type='text' class='form-control' placeholder='Paste Data....' />");
$('.input-group').append("<span class='input-group-btn' />");
$('.input-group-btn').append("<button class='btn btn-default' type='button' value='GO'>GO</button>");
$('.col-md-4:eq(1)').append("<form role='form' class='form1' />");
$('.form1').append("<div class='form-group' />");
$('.form-group').append("<label />").text("Wavelet Family");
}
var displayPage = function() {
//window.open('display.html','_self');
document.location.href = 'display.html';
$(document).ready(function() {
var lbl = [];
for (i = 0; i < wave.sigLength; ++i) {
lbl[i] = [i, wave.sigData[i]];
}
console.log(lbl[0]);
alert("Page Changed");
g = new Dygraph(document.getElementById("graph1"),
lbl,
{
legend: 'always',
color: '#3399ff',
animatedZooms: true,
title: 'Input'
}
);
});
}

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<div class="row marketing">
<div class="col-md-3"></div>
<div class="col-md-6 col-sm-12">
<div class="panel panel-default">
<div class="panel-body">
<button class="btn btn-primary btn-block"><span class="glyphicon glyphicon-hand-down pull-left" data-position="left">
</span>Selection</button>
<select class="wide-control form-control default" data-ng-model="transform" data-ng-change="setTransform()" id="wavevalue">
<option value=""> Make A Selection </option>
<option>Discrete Wavelet Transform</option>
<option>Continuous Wavelet Transform</option>
<option>Wavelet Denoising (BETA)</option>
</select>
</div>
</div>
</div>
<div class="col-md-3"></div>
</div>

3
report.html Normal file
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@ -0,0 +1,3 @@
<div class="row marketing">
</div>

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@ -1,55 +0,0 @@
#
aux_source_directory(. WAVE_SRC)
#
#
# libcmake
add_library(wavelib SHARED ${WAVE_SRC})
#
add_library(wavelib_static STATIC ${WAVE_SRC})
#
set_target_properties(wavelib_static PROPERTIES OUTPUT_NAME "wavelib")
#
set_target_properties(wavelib PROPERTIES CLEAN_DIRECT_OUTPUT 1)
set_target_properties(wavelib_static PROPERTIES CLEAN_DIRECT_OUTPUT 1)
#
set_target_properties(wavelib PROPERTIES VERSION ${PROJECT_VERSION} SOVERSION ${PROJECT_VERSION_MAJOR}.${PROJECT_VERSION_MINOR})
#
set_target_properties(wavelib PROPERTIES INSTALL_RPATH /usr/local/lib)
set_target_properties(wavelib_static PROPERTIES INSTALL_RPATH /usr/local/lib)
#
set(LIBRARY_OUTPUT_PATH ${PROJECT_BINARY_DIR}/lib)
#
set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -O3")
set(CONFIG_FILE_PATH lib/cmake/${PROJECT_NAME})
configure_package_config_file(${PROJECT_SOURCE_DIR}/${PROJECT_NAME}Config.cmake.in
${CMAKE_BINARY_DIR}/${PROJECT_NAME}Config.cmake
INSTALL_DESTINATION ${CONFIG_FILE_PATH})
write_basic_package_version_file(${CMAKE_BINARY_DIR}/${PROJECT_NAME}ConfigVersion.cmake
VERSION ${PROJECT_VERSION}
COMPATIBILITY SameMajorVersion)
#
if(WIN32)
install(TARGETS wavelib DESTINATION lib)
install(TARGETS wavelib_static DESTINATION lib)
else()
install(TARGETS wavelib wavelib_static
EXPORT ${PROJECT_NAME}Targets
LIBRARY DESTINATION lib
ARCHIVE DESTINATION lib)
install(EXPORT ${PROJECT_NAME}Targets
DESTINATION ${CONFIG_FILE_PATH})
install(FILES
${CMAKE_BINARY_DIR}/${PROJECT_NAME}Config.cmake
${CMAKE_BINARY_DIR}/${PROJECT_NAME}ConfigVersion.cmake
DESTINATION ${CONFIG_FILE_PATH})
endif()
#
install(FILES ../header/wavelib.h DESTINATION include)
install(FILES ../header/wauxlib.h DESTINATION include)

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@ -204,7 +204,5 @@ void conv_fft(const conv_object obj,fft_type *inp1,fft_type *inp2,fft_type *oup)
void free_conv(conv_object object) {
free_real_fft(object->fobj);
free_real_fft(object->iobj);
free(object);
}

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@ -17,8 +17,18 @@ extern "C" {
#define MIN(a,b) (((a)<(b))?(a):(b))
#define MAX(a,b) (((a)>(b))?(a):(b))
typedef struct conv_set* conv_object;
conv_object conv_init(int N, int L);
struct conv_set{
fft_real_object fobj;
fft_real_object iobj;
int ilen1;
int ilen2;
int clen;
};
int factorf(int M);
int findnext(int M);

398
src/cwt.c
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@ -1,398 +0,0 @@
/*
Copyright (c) 2015, Rafat Hussain
*/
/*
This code is a C translation ( with some modifications) of Wavelet Software provided by
C. Torrence and G. Compo, and is available at URL: http://atoc.colorado.edu/research/wavelets/''.
*/
#include "cwt.h"
double factorial(int N) {
static const double fact[41] = { 1, 1, 2, 6, 24, 120, 720, 5040, 40320, 362880, 3628800, 39916800, 479001600, 6227020800, 87178291200, 1307674368000,
20922789888000, 355687428096000, 6402373705728000, 121645100408832000, 2432902008176640000, 51090942171709440000.0, 1124000727777607680000.0,
25852016738884976640000.0, 620448401733239439360000.0, 15511210043330985984000000.0, 403291461126605635584000000.0, 10888869450418352160768000000.0,
304888344611713860501504000000.0, 8841761993739701954543616000000.0, 265252859812191058636308480000000.0, 8222838654177922817725562880000000.0,
263130836933693530167218012160000000.0, 8683317618811886495518194401280000000.0, 295232799039604140847618609643520000000.0, 10333147966386144929666651337523200000000.0,
371993326789901217467999448150835200000000.0, 13763753091226345046315979581580902400000000.0, 523022617466601111760007224100074291200000000.0,
20397882081197443358640281739902897356800000000.0, 815915283247897734345611269596115894272000000000.0 };
if (N > 40 || N < 0) {
printf("This program is only valid for 0 <= N <= 40 \n");
return -1.0;
}
return fact[N];
}
static void wave_function(int nk, double dt,int mother, double param,double scale1, double *kwave, double pi,double *period1,
double *coi1, fft_data *daughter) {
double norm, expnt, fourier_factor;
int k, m;
double temp;
int sign,re;
if (mother == 0) {
//MORLET
if (param < 0.0) {
param = 6.0;
}
norm = sqrt(2.0*pi*scale1 / dt)*pow(pi,-0.25);
for (k = 1; k <= nk / 2 + 1; ++k) {
temp = (scale1*kwave[k-1] - param);
expnt = -0.5 * temp * temp;
daughter[k - 1].re = norm * exp(expnt);
daughter[k - 1].im = 0.0;
}
for (k = nk / 2 + 2; k <= nk; ++k) {
daughter[k - 1].re = daughter[k - 1].im = 0.0;
}
fourier_factor = (4.0*pi) / (param + sqrt(2.0 + param*param));
*period1 = scale1*fourier_factor;
*coi1 = fourier_factor / sqrt(2.0);
}
else if (mother == 1) {
// PAUL
if (param < 0.0) {
param = 4.0;
}
m = (int)param;
norm = sqrt(2.0*pi*scale1 / dt)*(pow(2.0,(double)m) / sqrt((double)(m*factorial(2 * m - 1))));
for (k = 1; k <= nk / 2 + 1; ++k) {
temp = scale1 * kwave[k - 1];
expnt = - temp;
daughter[k - 1].re = norm * pow(temp,(double)m) * exp(expnt);
daughter[k - 1].im = 0.0;
}
for (k = nk / 2 + 2; k <= nk; ++k) {
daughter[k - 1].re = daughter[k - 1].im = 0.0;
}
fourier_factor = (4.0*pi) / (2.0 * m + 1.0);
*period1 = scale1*fourier_factor;
*coi1 = fourier_factor * sqrt(2.0);
}
else if (mother == 2) {
if (param < 0.0) {
param = 2.0;
}
m = (int)param;
if (m % 2 == 0) {
re = 1;
}
else {
re = 0;
}
if (m % 4 == 0 || m % 4 == 1) {
sign = -1;
}
else {
sign = 1;
}
norm = sqrt(2.0*pi*scale1 / dt)*sqrt(1.0 / cwt_gamma(m + 0.50));
norm *= sign;
if (re == 1) {
for (k = 1; k <= nk; ++k) {
temp = scale1 * kwave[k - 1];
daughter[k - 1].re = norm*pow(temp,(double)m)*exp(-0.50*pow(temp,2.0));
daughter[k - 1].im = 0.0;
}
}
else if (re == 0) {
for (k = 1; k <= nk; ++k) {
temp = scale1 * kwave[k - 1];
daughter[k - 1].re = 0.0;
daughter[k - 1].im = norm*pow(temp, (double)m)*exp(-0.50*pow(temp, 2.0));
}
}
fourier_factor = (2.0*pi) * sqrt(2.0 / (2.0 * m + 1.0));
*period1 = scale1*fourier_factor;
*coi1 = fourier_factor / sqrt(2.0);
}
}
void cwavelet(const double *y, int N, double dt, int mother, double param, double s0, double dj, int jtot, int npad,
double *wave, double *scale, double *period, double *coi) {
int i, j, k, iter;
double ymean, freq1, pi, period1, coi1;
double tmp1, tmp2;
double scale1;
double *kwave;
fft_object obj, iobj;
fft_data *ypad, *yfft,*daughter;
(void)s0; (void)dj; /* yes, we need these parameters unused */
pi = 4.0 * atan(1.0);
if (npad < N) {
printf("npad must be >= N \n");
exit(-1);
}
obj = fft_init(npad, 1);
iobj = fft_init(npad, -1);
ypad = (fft_data*)malloc(sizeof(fft_data)* npad);
yfft = (fft_data*)malloc(sizeof(fft_data)* npad);
daughter = (fft_data*)malloc(sizeof(fft_data)* npad);
kwave = (double*)malloc(sizeof(double)* npad);
ymean = 0.0;
for (i = 0; i < N; ++i) {
ymean += y[i];
}
ymean /= N;
for (i = 0; i < N; ++i) {
ypad[i].re = y[i] - ymean;
ypad[i].im = 0.0;
}
for (i = N; i < npad; ++i) {
ypad[i].re = ypad[i].im = 0.0;
}
// Find FFT of the input y (ypad)
fft_exec(obj, ypad, yfft);
for (i = 0; i < npad; ++i) {
yfft[i].re /= (double) npad;
yfft[i].im /= (double) npad;
}
//Construct the wavenumber array
freq1 = 2.0*pi / ((double)npad*dt);
kwave[0] = 0.0;
for (i = 1; i < npad / 2 + 1; ++i) {
kwave[i] = i * freq1;
}
for (i = npad / 2 + 1; i < npad; ++i) {
kwave[i] = -kwave[npad - i ];
}
// Main loop
for (j = 1; j <= jtot; ++j) {
scale1 = scale[j - 1];// = s0*pow(2.0, (double)(j - 1)*dj);
wave_function(npad, dt, mother, param, scale1, kwave, pi,&period1,&coi1, daughter);
period[j - 1] = period1;
for (k = 0; k < npad; ++k) {
tmp1 = daughter[k].re * yfft[k].re - daughter[k].im * yfft[k].im;
tmp2 = daughter[k].re * yfft[k].im + daughter[k].im * yfft[k].re;
daughter[k].re = tmp1;
daughter[k].im = tmp2;
}
fft_exec(iobj, daughter, ypad);
iter = 2 * (j - 1) * N;
for (i = 0; i < N; ++i) {
wave[iter + 2 * i] = ypad[i].re;
wave[iter + 2 * i + 1] = ypad[i].im;
}
}
for (i = 1; i <= (N + 1) / 2; ++i) {
coi[i - 1] = coi1 * dt * ((double)i - 1.0);
coi[N - i] = coi[i - 1];
}
free(kwave);
free(ypad);
free(yfft);
free(daughter);
free_fft(obj);
free_fft(iobj);
}
void psi0(int mother, double param,double *val,int *real) {
double pi,coeff;
int m,sign;
m = (int)param;
pi = 4.0 * atan(1.0);
if (mother == 0) {
// Morlet
*val = 1.0 / sqrt(sqrt(pi));
*real = 1;
}
else if (mother == 1) {
//Paul
if (m % 2 == 0) {
*real = 1;
}
else {
*real = 0;
}
if (m % 4 == 0 || m % 4 == 1) {
sign = 1;
}
else {
sign = -1;
}
*val = sign * pow(2.0, (double)m) * factorial(m) / (sqrt(pi * factorial(2 * m)));
}
else if (mother == 2) {
// D.O.G
*real = 1;
if (m % 2 == 0) {
if (m % 4 == 0) {
sign = -1;
}
else {
sign = 1;
}
coeff = sign * pow(2.0, (double)m / 2) / cwt_gamma(0.5);
*val = coeff * cwt_gamma(((double)m + 1.0) / 2.0) / sqrt(cwt_gamma(m + 0.50));
}
else {
*val = 0;
}
}
}
static int maxabs(double *array,int N) {
double maxval,temp;
int i,index;
maxval = 0.0;
index = -1;
for (i = 0; i < N; ++i) {
temp = fabs(array[i]);
if (temp >= maxval) {
maxval = temp;
index = i;
}
}
return index;
}
double cdelta(int mother, double param, double psi0 ) {
int N,i,j,iter;
double *delta, *scale,*period,*wave,*coi,*mval;
double den,cdel;
double subscale,dt,dj,s0;
int jtot;
int maxarr;
subscale = 8.0;
dt = 0.25;
if (mother == 0) {
N = 16;
s0 = dt/4;
}
else if (mother == 1) {
N = 16;
s0 = dt / 4.0;
}
else if (mother == 2)
{
s0 = dt/8.0;
N = 256;
if (param == 2.0) {
subscale = 16.0;
s0 = dt / 16.0;
N = 2048;
}
}
dj = 1.0 / subscale;
jtot = 16 * (int) subscale;
delta = (double*)malloc(sizeof(double)* N);
wave = (double*)malloc(sizeof(double)* 2 * N * jtot);
coi = (double*)malloc(sizeof(double)* N);
scale = (double*)malloc(sizeof(double)* jtot);
period = (double*)malloc(sizeof(double)* jtot);
mval = (double*)malloc(sizeof(double)* N);
delta[0] = 1;
for (i = 1; i < N; ++i) {
delta[i] = 0;
}
for (i = 0; i < jtot; ++i) {
scale[i] = s0*pow(2.0, (double)(i)*dj);
}
cwavelet(delta, N, dt, mother, param, s0, dj, jtot, N, wave, scale, period, coi);
for (i = 0; i < N; ++i) {
mval[i] = 0;
}
for (j = 0; j < jtot; ++j) {
iter = 2 * j * N;
den = sqrt(scale[j]);
for (i = 0; i < N; ++i) {
mval[i] += wave[iter + 2 * i]/den;
}
}
maxarr = maxabs(mval, N);
cdel = sqrt(dt) * dj * mval[maxarr] / psi0;
free(delta);
free(wave);
free(scale);
free(period);
free(coi);
free(mval);
return cdel;
}
void icwavelet(double *wave, int N, double *scale,int jtot,double dt,double dj,double cdelta,double psi0,double *oup) {
int i, j,iter;
double den, coeff;
coeff = sqrt(dt) * dj / (cdelta *psi0);
for (i = 0; i < N; ++i) {
oup[i] = 0.0;
}
for (j = 0; j < jtot; ++j) {
iter = 2 * j * N;
den = sqrt(scale[j]);
for (i = 0; i < N; ++i) {
oup[i] += wave[iter + 2 * i] / den;
}
}
for (i = 0; i < N; ++i) {
oup[i] *= coeff;
}
}

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@ -1,29 +0,0 @@
#ifndef CWT_H_
#define CWT_H_
#include "wavefunc.h"
#ifdef __cplusplus
extern "C" {
#endif
void cwavelet(const double *y, int N, double dt, int mother, double param, double s0, double dj, int jtot, int npad,
double *wave, double *scale, double *period, double *coi);
void psi0(int mother, double param, double *val, int *real);
double factorial(int N);
double cdelta(int mother, double param, double psi0);
void icwavelet(double *wave, int N, double *scale, int jtot, double dt, double dj, double cdelta, double psi0, double *oup);
#ifdef __cplusplus
}
#endif
#endif /* WAVELIB_H_ */

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@ -1,296 +0,0 @@
#include "cwtmath.h"
static void nsfft_fd(fft_object obj, fft_data *inp, fft_data *oup,double lb,double ub,double *w) {
int M,N,i,j,L;
double delta,den,theta,tempr,tempi,plb;
double *temp1,*temp2;
N = obj->N;
L = N/2;
//w = (double*)malloc(sizeof(double)*N);
M = divideby(N, 2);
if (M == 0) {
printf("The Non-Standard FFT Length must be a power of 2");
exit(1);
}
temp1 = (double*)malloc(sizeof(double)*L);
temp2 = (double*)malloc(sizeof(double)*L);
delta = (ub - lb)/ N;
j = -N;
den = 2 * (ub-lb);
for(i = 0; i < N;++i) {
w[i] = (double)j/den;
j += 2;
}
fft_exec(obj,inp,oup);
for (i = 0; i < L; ++i) {
temp1[i] = oup[i].re;
temp2[i] = oup[i].im;
}
for (i = 0; i < N - L; ++i) {
oup[i].re = oup[i + L].re;
oup[i].im = oup[i + L].im;
}
for (i = 0; i < L; ++i) {
oup[N - L + i].re = temp1[i];
oup[N - L + i].im = temp2[i];
}
plb = PI2 * lb;
for(i = 0; i < N;++i) {
tempr = oup[i].re;
tempi = oup[i].im;
theta = w[i] * plb;
oup[i].re = delta * (tempr*cos(theta) + tempi*sin(theta));
oup[i].im = delta * (tempi*cos(theta) - tempr*sin(theta));
}
//free(w);
free(temp1);
free(temp2);
}
static void nsfft_bk(fft_object obj, fft_data *inp, fft_data *oup,double lb,double ub,double *t) {
int M,N,i,j,L;
double *w;
double delta,den,plb,theta;
double *temp1,*temp2;
fft_data *inpt;
N = obj->N;
L = N/2;
M = divideby(N, 2);
if (M == 0) {
printf("The Non-Standard FFT Length must be a power of 2");
exit(1);
}
temp1 = (double*)malloc(sizeof(double)*L);
temp2 = (double*)malloc(sizeof(double)*L);
w = (double*)malloc(sizeof(double)*N);
inpt = (fft_data*) malloc (sizeof(fft_data) * N);
delta = (ub - lb)/ N;
j = -N;
den = 2 * (ub-lb);
for(i = 0; i < N;++i) {
w[i] = (double)j/den;
j += 2;
}
plb = PI2 * lb;
for(i = 0; i < N;++i) {
theta = w[i] * plb;
inpt[i].re = (inp[i].re*cos(theta) - inp[i].im*sin(theta))/delta;
inpt[i].im = (inp[i].im*cos(theta) + inp[i].re*sin(theta))/delta;
}
for (i = 0; i < L; ++i) {
temp1[i] = inpt[i].re;
temp2[i] = inpt[i].im;
}
for (i = 0; i < N - L; ++i) {
inpt[i].re = inpt[i + L].re;
inpt[i].im = inpt[i + L].im;
}
for (i = 0; i < L; ++i) {
inpt[N - L + i].re = temp1[i];
inpt[N - L + i].im = temp2[i];
}
fft_exec(obj,inpt,oup);
for(i = 0; i < N;++i) {
t[i] = lb + i*delta;
}
free(w);
free(temp1);
free(temp2);
free(inpt);
}
void nsfft_exec(fft_object obj, fft_data *inp, fft_data *oup,double lb,double ub,double *w) {
if (obj->sgn == 1) {
nsfft_fd(obj,inp,oup,lb,ub,w);
} else if (obj->sgn == -1) {
nsfft_bk(obj,inp,oup,lb,ub,w);
}
}
static double fix(double x) {
// Rounds to the integer nearest to zero
if (x >= 0.) {
return floor(x);
} else {
return ceil(x);
}
}
int nint(double N) {
int i;
i = (int)(N + 0.49999);
return i;
}
double cwt_gamma(double x) {
/*
* This C program code is based on W J Cody's fortran code.
* http://www.netlib.org/specfun/gamma
*
* References:
"An Overview of Software Development for Special Functions",
W. J. Cody, Lecture Notes in Mathematics, 506,
Numerical Analysis Dundee, 1975, G. A. Watson (ed.),
Springer Verlag, Berlin, 1976.
Computer Approximations, Hart, Et. Al., Wiley and sons, New York, 1968.
*/
// numerator and denominator coefficients for 1 <= x <= 2
double y,oup,fact,sum,y2,yi,z,nsum,dsum;
int swi,n,i;
double spi = 0.9189385332046727417803297;
double pi = 3.1415926535897932384626434;
double xmax = 171.624e+0;
double xinf = 1.79e308;
double eps = 2.22e-16;
double xninf = 1.79e-308;
double num[8] = { -1.71618513886549492533811e+0,
2.47656508055759199108314e+1,
-3.79804256470945635097577e+2,
6.29331155312818442661052e+2,
8.66966202790413211295064e+2,
-3.14512729688483675254357e+4,
-3.61444134186911729807069e+4,
6.64561438202405440627855e+4 };
double den[8] = { -3.08402300119738975254353e+1,
3.15350626979604161529144e+2,
-1.01515636749021914166146e+3,
-3.10777167157231109440444e+3,
2.25381184209801510330112e+4,
4.75584627752788110767815e+3,
-1.34659959864969306392456e+5,
-1.15132259675553483497211e+5 };
// Coefficients for Hart's Minimax approximation x >= 12
double c[7] = { -1.910444077728e-03,
8.4171387781295e-04,
-5.952379913043012e-04,
7.93650793500350248e-04,
-2.777777777777681622553e-03,
8.333333333333333331554247e-02,
5.7083835261e-03 };
y = x;
swi = 0;
fact = 1.0;
n = 0;
if ( y < 0.) {
// Negative x
y = -x;
yi = fix(y);
oup = y - yi;
if (oup != 0.0) {
if (yi != fix(yi * .5) * 2.) {
swi = 1;
}
fact = -pi / sin(pi * oup);
y += 1.;
} else {
return xinf;
}
}
if (y < eps) {
if (y >= xninf) {
oup = 1.0/y;
} else {
return xinf;
}
} else if (y < 12.) {
yi = y;
if ( y < 1.) {
z = y;
y += 1.;
} else {
n = ( int ) y - 1;
y -= ( double ) n;
z = y - 1.0;
}
nsum = 0.;
dsum = 1.;
for (i = 0; i < 8; ++i) {
nsum = (nsum + num[i]) * z;
dsum = dsum * z + den[i];
}
oup = nsum / dsum + 1.;
if (yi < y) {
oup /= yi;
} else if (yi > y) {
for (i = 0; i < n; ++i) {
oup *= y;
y += 1.;
}
}
} else {
if (y <= xmax) {
y2 = y * y;
sum = c[6];
for (i = 0; i < 6; ++i) {
sum = sum / y2 + c[i];
}
sum = sum / y - y + spi;
sum += (y - .5) * log(y);
oup = exp(sum);
} else {
return(xinf);
}
}
if (swi) {
oup = -oup;
}
if (fact != 1.) {
oup = fact / oup;
}
return oup;
}

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@ -1,22 +0,0 @@
#ifndef CWTMATH_H_
#define CWTMATH_H_
#include "wtmath.h"
#include "hsfft.h"
#ifdef __cplusplus
extern "C" {
#endif
void nsfft_exec(fft_object obj, fft_data *inp, fft_data *oup,double lb,double ub,double *w);// lb -lower bound, ub - upper bound, w - time or frequency grid (Size N)
double cwt_gamma(double x);
int nint(double N);
#ifdef __cplusplus
}
#endif
#endif /* WAVELIB_H_ */

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@ -18,7 +18,7 @@ fft_object fft_init(int N, int sgn) {
if (out == 1) {
obj = (fft_object) malloc (sizeof(struct fft_set) + sizeof(fft_data)* (N-1));
obj->lf = factors(N,obj->factors);
longvectorN(obj->twiddle,obj->factors,obj->lf);
longvectorN(obj->twiddle,N,obj->factors,obj->lf);
twi_len = N;
obj->lt = 0;
} else {
@ -32,7 +32,7 @@ fft_object fft_init(int N, int sgn) {
}
obj = (fft_object) malloc (sizeof(struct fft_set) + sizeof(fft_data)* (M-1));
obj->lf = factors(M,obj->factors);
longvectorN(obj->twiddle,obj->factors,obj->lf);
longvectorN(obj->twiddle,M,obj->factors,obj->lf);
obj->lt = 1;
twi_len = M;
}
@ -1831,7 +1831,7 @@ void twiddle(fft_data *vec,int N, int radix) {
}
void longvectorN(fft_data *sig, int *array, int tx) {
void longvectorN(fft_data *sig,int N, int *array, int tx) {
int L,i,Ls,ct,j,k;
fft_type theta;
L = 1;

View File

@ -12,8 +12,6 @@
#include <math.h>
#include <string.h>
#include "../header/wavelib.h"
#ifdef __cplusplus
extern "C" {
#endif
@ -24,6 +22,11 @@ extern "C" {
#define fft_type double
#endif
typedef struct fft_t {
fft_type re;
fft_type im;
} fft_data;
/*
#define SADD(a,b) ((a)+(b))
@ -32,8 +35,19 @@ extern "C" {
#define SMUL(a,b) ((a)*(b))
*/
typedef struct fft_set* fft_object;
fft_object fft_init(int N, int sgn);
struct fft_set{
int N;
int sgn;
int factors[64];
int lf;
int lt;
fft_data twiddle[1];
};
void fft_exec(fft_object obj,fft_data *inp,fft_data *oup);
int divideby(int M,int d);
@ -46,7 +60,7 @@ int factors(int M, int* arr);
void twiddle(fft_data *sig,int N, int radix);
void longvectorN(fft_data *sig, int *array, int M);
void longvectorN(fft_data *sig,int N, int *array, int M);
void free_fft(fft_object object);

View File

@ -9,9 +9,11 @@
fft_real_object fft_real_init(int N, int sgn) {
fft_real_object obj = NULL;
fft_type theta;
fft_type PI, theta;
int k;
PI = 3.1415926535897932384626433832795;
obj = (fft_real_object) malloc (sizeof(struct fft_real_set) + sizeof(fft_data)* (N/2));
obj->cobj = fft_init(N/2,sgn);
@ -77,9 +79,10 @@ void fft_c2r_exec(fft_real_object obj,fft_data *inp,fft_type *oup) {
fft_data* cinp;
fft_data* coup;
int i,N2;
int i,N2,N;
fft_type temp1,temp2;
N2 = obj->cobj->N;
N = N2*2;
cinp = (fft_data*) malloc (sizeof(fft_data) * N2);
coup = (fft_data*) malloc (sizeof(fft_data) * N2);
@ -103,7 +106,6 @@ void fft_c2r_exec(fft_real_object obj,fft_data *inp,fft_type *oup) {
}
void free_real_fft(fft_real_object object) {
free_fft(object->cobj);
free(object);
}

View File

@ -14,8 +14,15 @@
extern "C" {
#endif
typedef struct fft_real_set* fft_real_object;
fft_real_object fft_real_init(int N, int sgn);
struct fft_real_set{
fft_object cobj;
fft_data twiddle2[1];
};
void fft_r2c_exec(fft_real_object obj,fft_type *inp,fft_data *oup);
void fft_c2r_exec(fft_real_object obj,fft_data *inp,fft_type *oup);

File diff suppressed because it is too large Load Diff

View File

@ -1,28 +1,19 @@
/*
Copyright (c) 2014, Rafat Hussain
Copyright (c) 2016, Holger Nahrstaedt
*/
#ifndef WAVEFILT_H_
#define WAVEFILT_H_
#include <stdio.h>
#include "conv.h"
#define _USE_MATH_DEFINES
#include "math.h"
#ifdef __cplusplus
extern "C" {
#endif
int filtlength(const char* name);
int filtlength(char* name);
int filtcoef(char* name, double *lp1, double *hp1, double *lp2, double *hp2);
int filtcoef(const char* name, double *lp1, double *hp1, double *lp2, double *hp2);
void copy_reverse(const double *in, int N, double *out);
void qmf_even(const double *in, int N, double *out);
void qmf_wrev(const double *in, int N, double *out);
void copy(const double *in, int N, double *out);
#ifdef __cplusplus
}
#endif

View File

@ -1,210 +0,0 @@
#include "wavefunc.h"
void meyer(int N,double lb,double ub,double *phi,double *psi,double *tgrid) {
int M,i;
double *w;
double delta,j;
double theta,x,x2,x3,x4,v,cs,sn;
double wf;
fft_data *phiw,*psiw,*oup;
fft_object obj;
M = divideby(N, 2);
if (M == 0) {
printf("Size of Wavelet must be a power of 2");
exit(1);
}
if (lb >= ub) {
printf("upper bound must be greater than lower bound");
exit(1);
}
obj = fft_init(N,-1);
w = (double*)malloc(sizeof(double)*N);
phiw = (fft_data*) malloc (sizeof(fft_data) * N);
psiw = (fft_data*) malloc (sizeof(fft_data) * N);
oup = (fft_data*) malloc (sizeof(fft_data) * N);
delta = 2 * (ub-lb) / PI2;
j = (double) N;
j *= -1.0;
for(i = 0; i < N;++i) {
w[i] = j / delta;
j += 2.0;
psiw[i].re = psiw[i].im = 0.0;
phiw[i].re = phiw[i].im = 0.0;
}
for(i = 0; i < N;++i) {
wf = fabs(w[i]);
if (wf <= PI2/3.0) {
phiw[i].re = 1.0;
}
if (wf > PI2/3.0 && wf <= 2 * PI2 / 3.0) {
x = (3 * wf / PI2) - 1.0;
x2 = x*x;
x3 = x2 * x;
x4 = x3 *x;
v = x4 *(35 - 84*x + 70*x2 - 20*x3);
theta = v * PI2 / 4.0;
cs = cos(theta);
sn = sin(theta);
phiw[i].re = cs;
psiw[i].re = cos(w[i]/2.0) * sn;
psiw[i].im = sin(w[i]/2.0) * sn;
}
if (wf > 2.0 * PI2/3.0 && wf <= 4 * PI2 / 3.0) {
x = (1.5 * wf / PI2) - 1.0;
x2 = x*x;
x3 = x2 * x;
x4 = x3 *x;
v = x4 *(35 - 84*x + 70*x2 - 20*x3);
theta = v * PI2 / 4.0;
cs = cos(theta);
psiw[i].re = cos(w[i]/2.0) * cs;
psiw[i].im = sin(w[i]/2.0) * cs;
}
}
nsfft_exec(obj,phiw,oup,lb,ub,tgrid);
for(i = 0; i < N;++i) {
phi[i] = oup[i].re/N;
}
nsfft_exec(obj,psiw,oup,lb,ub,tgrid);
for(i = 0; i < N;++i) {
psi[i] = oup[i].re/N;
}
free(oup);
free(phiw);
free(psiw);
free(w);
}
void gauss(int N,int p,double lb,double ub,double *psi,double *t) {
double delta,num,den,t2,t4;
int i;
if (lb >= ub) {
printf("upper bound must be greater than lower bound");
exit(1);
}
t[0] = lb;
t[N-1] = ub;
delta = (ub - lb) / (N-1);
for(i = 1; i < N-1;++i) {
t[i] = lb + delta * i;
}
den = sqrt(cwt_gamma(p+0.5));
if ((p+1)%2 == 0) {
num = 1.0;
} else {
num = -1.0;
}
num /= den;
//printf("\n%g\n",num);
if (p == 1) {
for(i = 0; i < N;++i) {
psi[i] = -t[i] * exp(- t[i] * t[i]/2.0) * num;
}
} else if (p == 2) {
for(i = 0; i < N;++i) {
t2 = t[i] * t[i];
psi[i] = (-1.0 + t2) * exp(- t2/2.0) * num;
}
} else if (p == 3) {
for(i = 0; i < N;++i) {
t2 = t[i] * t[i];
psi[i] = t[i] * (3.0 - t2) * exp(- t2/2.0) * num;
}
} else if (p == 4) {
for(i = 0; i < N;++i) {
t2 = t[i] * t[i];
psi[i] = (t2 * t2 - 6.0 * t2 + 3.0) * exp(- t2/2.0) * num;
}
} else if (p == 5) {
for(i = 0; i < N;++i) {
t2 = t[i] * t[i];
psi[i] = t[i] * (-t2 * t2 + 10.0 * t2 - 15.0) * exp(- t2/2.0) * num;
}
} else if (p == 6) {
for(i = 0; i < N;++i) {
t2 = t[i] * t[i];
psi[i] = (t2 * t2 * t2 - 15.0 * t2 * t2 + 45.0 * t2 - 15.0) * exp(- t2/2.0) * num;
}
} else if (p == 7) {
for(i = 0; i < N;++i) {
t2 = t[i] * t[i];
psi[i] = t[i] * (-t2 * t2 * t2 + 21.0 * t2 * t2 - 105.0 * t2 + 105.0) * exp(- t2/2.0) * num;
}
} else if (p == 8) {
for(i = 0; i < N;++i) {
t2 = t[i] * t[i];
t4 = t2 * t2;
psi[i] = (t4 * t4 - 28.0 * t4 * t2 + 210.0 * t4 - 420.0 * t2 + 105.0) * exp(- t2/2.0) * num;
}
} else if (p == 9) {
for(i = 0; i < N;++i) {
t2 = t[i] * t[i];
t4 = t2 * t2;
psi[i] = t[i] * (- t4 * t4 + 36.0 * t4 * t2 - 378.0 * t4 + 1260.0 * t2 - 945.0) * exp(- t2/2.0) * num;
}
} else if (p == 10) {
for(i = 0; i < N;++i) {
t2 = t[i] * t[i];
t4 = t2 * t2;
psi[i] = (t4 * t4 * t2 - 45.0 * t4 * t4 + 630.0 * t4 * t2 - 3150.0 * t4 + 4725.0 * t2 - 945.0) * exp(- t2/2.0) * num;
}
} else {
printf("\n The Gaussian Derivative Wavelet is only available for Derivatives 1 to 10");
exit(1);
}
}
void mexhat(int N,double lb,double ub,double *psi,double *t) {
gauss(N,2,lb,ub,psi,t);
}
void morlet(int N,double lb,double ub,double *psi,double *t) {
int i;
double delta;
if (lb >= ub) {
printf("upper bound must be greater than lower bound");
exit(1);
}
t[0] = lb;
t[N-1] = ub;
delta = (ub - lb) / (N-1);
for(i = 1; i < N-1;++i) {
t[i] = lb + delta * i;
}
for(i = 0; i < N;++i) {
psi[i] = exp(- t[i] * t[i] / 2.0) * cos(5 * t[i]);
}
}

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@ -1,24 +0,0 @@
#ifndef WAVEFUNC_H_
#define WAVEFUNC_H_
#include "cwtmath.h"
#ifdef __cplusplus
extern "C" {
#endif
void meyer(int N,double lb,double ub,double *phi,double *psi,double *tgrid);
void gauss(int N,int p,double lb,double ub,double *psi,double *t);
void mexhat(int N,double lb,double ub,double *psi,double *t);
void morlet(int N,double lb,double ub,double *psi,double *t);
#ifdef __cplusplus
}
#endif
#endif /* WAVEFUNC_H_ */

File diff suppressed because it is too large Load Diff

85
src/wavelib.h Normal file
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@ -0,0 +1,85 @@
#ifndef WAVELIB_H_
#define WAVELIB_H_
#include "wtmath.h"
#ifdef __cplusplus
extern "C" {
#endif
typedef struct wave_set* wave_object;
wave_object wave_init(char* wname);
struct wave_set{
char wname[50];
int filtlength;// When all filters are of the same length. [Matlab uses zero-padding to make all filters of the same length]
int lpd_len;// Default filtlength = lpd_len = lpr_len = hpd_len = hpr_len
int hpd_len;
int lpr_len;
int hpr_len;
double *lpd;
double *hpd;
double *lpr;
double *hpr;
double params[0];
};
typedef struct wt_set* wt_object;
wt_object wt_init(wave_object wave,char* method, int siglength, int J);
struct wt_set{
wave_object wave;
conv_object cobj;
char method[10];
int siglength;// Length of the original signal.
int outlength;// Length of the output DWT vector
int lenlength;// Length of the Output Dimension Vector "length"
int J; // Number of decomposition Levels
int MaxIter;// Maximum Iterations J <= MaxIter
int even;// even = 1 if signal is of even length. even = 0 otherwise
char ext[10];// Type of Extension used - "per" or "sym"
char cmethod[10]; // Convolution Method - "direct" or "FFT"
int N; //
int cfftset;
int zpad;
int length[102];
double *output;
double params[0];
};
void dwt(wt_object wt, double *inp);
void idwt(wt_object wt, double *dwtop);
void swt(wt_object wt, double *inp);
void iswt(wt_object wt, double *swtop);
void modwt(wt_object wt, double *inp);
void imodwt(wt_object wt, double *dwtop);
void setDWTExtension(wt_object wt, char *extension);
void setWTConv(wt_object wt, char *cmethod);
void wave_summary(wave_object obj);
void wt_summary(wt_object wt);
void wave_free(wave_object object);
void wt_free(wt_object object);
#ifdef __cplusplus
}
#endif
#endif /* WAVELIB_H_ */

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@ -1,355 +1,5 @@
/*
Copyright (c) 2018, Rafat Hussain
*/
#include "wtmath.h"
void dwt_per_stride(double *inp, int N, double *lpd,double*hpd,int lpd_len,double *cA, int len_cA, double *cD, int istride, int ostride) {
int l, l2, isodd, i, t, len_avg,is,os;
len_avg = lpd_len;
l2 = len_avg / 2;
isodd = N % 2;
for (i = 0; i < len_cA; ++i) {
t = 2 * i + l2;
os = i *ostride;
cA[os] = 0.0;
cD[os] = 0.0;
for (l = 0; l < len_avg; ++l) {
if ((t - l) >= l2 && (t - l) < N) {
is = (t - l) * istride;
cA[os] += lpd[l] * inp[is];
cD[os] += hpd[l] * inp[is];
}
else if ((t - l) < l2 && (t - l) >= 0) {
is = (t - l) * istride;
cA[os] += lpd[l] * inp[is];
cD[os] += hpd[l] * inp[is];
}
else if ((t - l) < 0 && isodd == 0) {
is = (t - l + N) * istride;
cA[os] += lpd[l] * inp[is];
cD[os] += hpd[l] * inp[is];
}
else if ((t - l) < 0 && isodd == 1) {
if ((t - l) != -1) {
is = (t - l + N + 1) * istride;
cA[os] += lpd[l] * inp[is];
cD[os] += hpd[l] * inp[is];
}
else {
is = (N - 1) * istride;
cA[os] += lpd[l] * inp[is];
cD[os] += hpd[l] * inp[is];
}
}
else if ((t - l) >= N && isodd == 0) {
is = (t - l - N) * istride;
cA[os] += lpd[l] * inp[is];
cD[os] += hpd[l] * inp[is];
}
else if ((t - l) >= N && isodd == 1) {
is = (t - l - (N + 1)) * istride;
if (t - l != N) {
cA[os] += lpd[l] * inp[is];
cD[os] += hpd[l] * inp[is];
}
else {
is = (N - 1) * istride;
cA[os] += lpd[l] * inp[is];
cD[os] += hpd[l] * inp[is];
}
}
}
}
}
void dwt_sym_stride(double *inp, int N, double *lpd, double*hpd, int lpd_len, double *cA, int len_cA, double *cD, int istride, int ostride) {
int i, l, t, len_avg;
int is, os;
len_avg = lpd_len;
for (i = 0; i < len_cA; ++i) {
t = 2 * i + 1;
os = i *ostride;
cA[os] = 0.0;
cD[os] = 0.0;
for (l = 0; l < len_avg; ++l) {
if ((t - l) >= 0 && (t - l) < N) {
is = (t - l) * istride;
cA[os] += lpd[l] * inp[is];
cD[os] += hpd[l] * inp[is];
}
else if ((t - l) < 0) {
is = (-t + l - 1) * istride;
cA[os] += lpd[l] * inp[is];
cD[os] += hpd[l] * inp[is];
}
else if ((t - l) >= N) {
is = (2 * N - t + l - 1) * istride;
cA[os] += lpd[l] * inp[is];
cD[os] += hpd[l] * inp[is];
}
}
}
}
void modwt_per_stride(int M, double *inp, int N, double *filt, int lpd_len, double *cA, int len_cA, double *cD, int istride, int ostride) {
int l, i, t, len_avg;
int is, os;
len_avg = lpd_len;
for (i = 0; i < len_cA; ++i) {
t = i;
os = i *ostride;
is = t *istride;
cA[os] = filt[0] * inp[is];
cD[os] = filt[len_avg] * inp[is];
for (l = 1; l < len_avg; l++) {
t -= M;
while (t >= len_cA) {
t -= len_cA;
}
while (t < 0) {
t += len_cA;
}
os = i * ostride;
is = t * istride;
cA[os] += filt[l] * inp[is];
cD[os] += filt[len_avg + l] * inp[is];
}
}
}
void swt_per_stride(int M, double *inp, int N, double *lpd, double*hpd, int lpd_len, double *cA, int len_cA, double *cD, int istride, int ostride) {
int l, l2, isodd, i, t, len_avg, j;
int is, os;
len_avg = M * lpd_len;
l2 = len_avg / 2;
isodd = N % 2;
for (i = 0; i < len_cA; ++i) {
t = i + l2;
os = i *ostride;
cA[os] = 0.0;
cD[os] = 0.0;
l = -1;
for (j = 0; j < len_avg; j += M) {
l++;
while (j >= len_cA) {
j -= len_cA;
}
if ((t - j) >= l2 && (t - j) < N) {
is = (t - j)*istride;
cA[os] += lpd[l] * inp[is];
cD[os] += hpd[l] * inp[is];
}
else if ((t - j) < l2 && (t - j) >= 0) {
is = (t - j)*istride;
cA[os] += lpd[l] * inp[is];
cD[os] += hpd[l] * inp[is];
}
else if ((t - j) < 0) {
is = (t - j + N)*istride;
cA[os] += lpd[l] * inp[is];
cD[os] += hpd[l] * inp[is];
}
else if ((t - j) >= N && isodd == 0) {
is = (t - j - N)*istride;
cA[os] += lpd[l] * inp[is];
cD[os] += hpd[l] * inp[is];
}
else if ((t - j) >= N && isodd == 1) {
if (t - l != N) {
is = (t - j - (N + 1))*istride;
cA[os] += lpd[l] * inp[is];
cD[os] += hpd[l] * inp[is];
}
else {
is = (N - 1)*istride;
cA[os] += lpd[l] * inp[is];
cD[os] += hpd[l] * inp[N - 1];
}
}
}
}
}
void idwt_per_stride(double *cA, int len_cA, double *cD, double *lpr, double *hpr, int lpr_len, double *X, int istride, int ostride) {
int len_avg, i, l, m, n, t, l2;
int is, ms, ns;
len_avg = lpr_len;
l2 = len_avg / 2;
m = -2;
n = -1;
for (i = 0; i < len_cA + l2 - 1; ++i) {
m += 2;
n += 2;
ms = m * ostride;
ns = n * ostride;
X[ms] = 0.0;
X[ns] = 0.0;
for (l = 0; l < l2; ++l) {
t = 2 * l;
if ((i - l) >= 0 && (i - l) < len_cA) {
is = (i - l) * istride;
X[ms] += lpr[t] * cA[is] + hpr[t] * cD[is];
X[ns] += lpr[t + 1] * cA[is] + hpr[t + 1] * cD[is];
}
else if ((i - l) >= len_cA && (i - l) < len_cA + len_avg - 1) {
is = (i - l - len_cA) * istride;
X[ms] += lpr[t] * cA[is] + hpr[t] * cD[is];
X[ns] += lpr[t + 1] * cA[is] + hpr[t + 1] * cD[is];
}
else if ((i - l) < 0 && (i - l) > -l2) {
is = (len_cA + i - l) * istride;
X[ms] += lpr[t] * cA[is] + hpr[t] * cD[is];
X[ns] += lpr[t + 1] * cA[is] + hpr[t + 1] * cD[is];
}
}
}
}
void idwt_sym_stride(double *cA, int len_cA, double *cD, double *lpr, double *hpr, int lpr_len, double *X, int istride, int ostride) {
int len_avg, i, l, m, n, t, v;
int ms, ns, is;
len_avg = lpr_len;
m = -2;
n = -1;
for (v = 0; v < len_cA; ++v) {
i = v;
m += 2;
n += 2;
ms = m * ostride;
ns = n * ostride;
X[ms] = 0.0;
X[ns] = 0.0;
for (l = 0; l < len_avg / 2; ++l) {
t = 2 * l;
if ((i - l) >= 0 && (i - l) < len_cA) {
is = (i - l) * istride;
X[ms] += lpr[t] * cA[is] + hpr[t] * cD[is];
X[ns] += lpr[t + 1] * cA[is] + hpr[t + 1] * cD[is];
}
}
}
}
void imodwt_per_stride(int M, double *cA, int len_cA, double *cD, double *filt,int lf,double *X,int istride, int ostride) {
int len_avg, i, l, t;
int is, os;
len_avg = lf;
for (i = 0; i < len_cA; ++i) {
t = i;
os = i * ostride;
is = t *istride;
X[os] = (filt[0] * cA[is]) + (filt[len_avg] * cD[is]);
for (l = 1; l < len_avg; l++) {
t += M;
while (t >= len_cA) {
t -= len_cA;
}
while (t < 0) {
t += len_cA;
}
is = t *istride;
X[os] += (filt[l] * cA[is]) + (filt[len_avg + l] * cD[is]);
}
}
}
void idwt2_shift(int shift, int rows, int cols, double *lpr, double *hpr, int lf, double *A,double *H, double *V,double *D, double *oup) {
int i, k, N, ir, ic, J, dim1, dim2;
int istride, ostride;
double *cL, *cH, *X_lp;
N = rows > cols ? 2 * rows : 2 * cols;
J = 1;
dim1 = 2 * rows;
dim2 = 2 * cols;
X_lp = (double*)malloc(sizeof(double)* (N + 2 * lf - 1));
cL = (double*)calloc(dim1*dim2, sizeof(double));
cH = (double*)calloc(dim1*dim2, sizeof(double));
ir = rows;
ic = cols;
istride = ic;
ostride = 1;
for (i = 0; i < ic; ++i) {
idwt_per_stride(A+i, ir, H+i, lpr, hpr, lf, X_lp, istride, ostride);
for (k = lf / 2 - 1; k < 2 * ir + lf / 2 - 1; ++k) {
cL[(k - lf / 2 + 1)*ic + i] = X_lp[k];
}
idwt_per_stride(V+i, ir, D+i, lpr, hpr, lf, X_lp, istride, ostride);
for (k = lf / 2 - 1; k < 2 * ir + lf / 2 - 1; ++k) {
cH[(k - lf / 2 + 1)*ic + i] = X_lp[k];
}
}
ir *= 2;
istride = 1;
ostride = 1;
for (i = 0; i < ir; ++i) {
idwt_per_stride(cL + i*ic, ic, cH + i*ic, lpr, hpr, lf, X_lp, istride, ostride);
for (k = lf / 2 - 1; k < 2 * ic + lf / 2 - 1; ++k) {
oup[(k - lf / 2 + 1) + i*ic * 2] = X_lp[k];
}
}
ic *= 2;
if (shift == -1) {
//Save the last column
for (i = 0; i < ir; ++i) {
cL[i] = oup[(i + 1)*ic - 1];
}
// Save the last row
memcpy(cH, oup + (ir - 1)*ic, sizeof(double)*ic);
for (i = ir - 1; i > 0; --i) {
memcpy(oup + i*ic + 1, oup + (i - 1)*ic, sizeof(double)*(ic - 1));
}
oup[0] = cL[ir - 1];
for (i = 1; i < ir; ++i) {
oup[i*ic] = cL[i - 1];
}
for (i = 1; i < ic; ++i) {
oup[i] = cH[i - 1];
}
}
free(X_lp);
free(cL);
free(cH);
}
int upsamp(double *x, int lenx, int M, double *y) {
int N, i, j, k;
@ -586,95 +236,4 @@ int wmaxiter(int sig_len, int filt_len) {
lev = (int)temp;
return lev;
}
static double entropy_s(double *x,int N) {
int i;
double val,x2;
val = 0.0;
for(i = 0; i < N; ++i) {
if (x[i] != 0) {
x2 = x[i] * x[i];
val -= x2 * log(x2);
}
}
return val;
}
static double entropy_t(double *x,int N, double t) {
int i;
double val,x2;
if (t < 0) {
printf("Threshold value must be >= 0");
exit(1);
}
val = 0.0;
for(i = 0; i < N; ++i) {
x2 = fabs(x[i]);
if (x2 > t) {
val += 1;
}
}
return val;
}
static double entropy_n(double *x,int N,double p) {
int i;
double val,x2;
if (p < 1) {
printf("Norm power value must be >= 1");
exit(1);
}
val = 0.0;
for(i = 0; i < N; ++i) {
x2 = fabs(x[i]);
val += pow(x2,(double)p);
}
return val;
}
static double entropy_l(double *x,int N) {
int i;
double val,x2;
val = 0.0;
for(i = 0; i < N; ++i) {
if (x[i] != 0) {
x2 = x[i] * x[i];
val += log(x2);
}
}
return val;
}
double costfunc(double *x, int N ,char *entropy,double p) {
double val;
if (!strcmp(entropy, "shannon")) {
val = entropy_s(x, N);
}
else if (!strcmp(entropy, "threshold")) {
val = entropy_t(x, N,p);
}
else if (!strcmp(entropy, "norm")) {
val = entropy_n(x, N,p);
}
else if (!strcmp(entropy, "logenergy") || !strcmp(entropy, "log energy") || !strcmp(entropy, "energy")) {
val = entropy_l(x, N);
}
else {
printf("Entropy must be one of shannon, threshold, norm or energy");
exit(-1);
}
return val;
}
}

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@ -1,6 +1,3 @@
/*
Copyright (c) 2014, Rafat Hussain
*/
#ifndef WTMATH_H_
#define WTMATH_H_
@ -10,30 +7,6 @@ Copyright (c) 2014, Rafat Hussain
extern "C" {
#endif
void dwt_per_stride(double *inp, int N, double *lpd,double*hpd,int lpd_len,
double *cA, int len_cA, double *cD, int istride, int ostride);
void dwt_sym_stride(double *inp, int N, double *lpd, double*hpd, int lpd_len,
double *cA, int len_cA, double *cD, int istride, int ostride);
void modwt_per_stride(int M, double *inp, int N, double *filt, int lpd_len,
double *cA, int len_cA, double *cD, int istride, int ostride);
void swt_per_stride(int M, double *inp, int N, double *lpd, double*hpd, int lpd_len,
double *cA, int len_cA, double *cD, int istride, int ostride);
void idwt_per_stride(double *cA, int len_cA, double *cD, double *lpr, double *hpr,
int lpr_len, double *X, int istride, int ostride);
void idwt_sym_stride(double *cA, int len_cA, double *cD, double *lpr, double *hpr,
int lpr_len, double *X, int istride, int ostride);
void imodwt_per_stride(int M, double *cA, int len_cA, double *cD, double *filt,
int lf,double *X,int istride, int ostride);
void idwt2_shift(int shift, int rows, int cols, double *lpr, double *hpr, int lf,
double *A,double *H, double *V,double *D, double *oup);
int upsamp(double *x, int lenx, int M, double *y);
int upsamp2(double *x, int lenx, int M, double *y);
@ -50,11 +23,9 @@ int testSWTlength(int N, int J);
int wmaxiter(int sig_len, int filt_len);
double costfunc(double *x, int N, char *entropy, double p);
#ifdef __cplusplus
}
#endif
#endif /* WAVELIB_H_ */
#endif /* WAVELIB_H_ */

117
stylesheets/free.css Normal file
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@ -0,0 +1,117 @@
/*!
* Start Bootstrap - Modern Business HTML Template (http://startbootstrap.com)
* Code licensed under the Apache License v2.0.
* For details, see http://www.apache.org/licenses/LICENSE-2.0.
*/
/* Global Styles */
/*
This website uses a modified bootstrap template provided by
http://startbootstrap.com under Apache License v2.0
See Above
*/
html,
body {
height: 100%;
}
body {
padding-top: 50px; /* Required padding for .navbar-fixed-top. Remove if using .navbar-static-top. Change if height of navigation changes. */
}
.navbar-inverse .navbar-brand {
color: #c0dff5;
}
.nav.navbar-nav.navbar-right li a {
color: #c0dff5;
}
/* 404 Page Styles */
.error-404 {
font-size: 100px;
}
/* Footer Styles */
footer {
margin: 50px 0;
}
/*
.panel-default > .panel-heading {
background-color: #c0dff5;
border-color: #c0dff5;
}
.panel-body > .btn.btn-primary {
background-color: #c0dff5;
border-color: #c0dff5;
color: #000;
}
*/
/**/
#tabletext {
font-family: Lucida Console,Verdana;
font-size: large;
}
/* Responsive Styles */
@media(max-width:991px) {
.customer-img,
.img-related {
margin-bottom: 30px;
}
}
@media(max-width:767px) {
.img-portfolio {
margin-bottom: 15px;
}
header.carousel .carousel {
height: 70%;
}
}
/*Following code is taken from http://www.abeautifulsite.net/whipping-file-inputs-into-shape-with-bootstrap-3/*/
.btn-file {
position: relative;
overflow: hidden;
}
.btn-file input[type=file] {
position: absolute;
top: 0;
right: 0;
min-width: 100%;
min-height: 100%;
font-size: 100px;
text-align: right;
filter: alpha(opacity=0);
opacity: 0;
background: red;
cursor: inherit;
display: block;
}
.large-Modal .modal-dialog{
width:640px;
height: 480px;
position: absolute;
top:0; bottom: 0; left: 0; right: 0;
margin: auto;
overflow: scroll;
}
.marketing {
margin-bottom: 10px;
}

View File

@ -1,48 +0,0 @@
add_executable(cwttest cwttest.c)
target_link_libraries(cwttest wavelib)
add_executable(dwttest dwttest.c)
target_link_libraries(dwttest wavelib)
add_executable(swttest swttest.c)
target_link_libraries(swttest wavelib)
add_executable(modwttest modwttest.c)
target_link_libraries(modwttest wavelib)
add_executable(dwpttest dwpttest.c)
target_link_libraries(dwpttest wavelib)
add_executable(wtreetest wtreetest.c)
target_link_libraries(wtreetest wavelib)
add_executable(denoisetest denoisetest.c)
target_link_libraries(denoisetest wauxlib wavelib)
add_executable(modwtdenoisetest modwtdenoisetest.c)
target_link_libraries(modwtdenoisetest wauxlib wavelib)
add_executable(dwt2test dwt2test.c)
target_link_libraries(dwt2test wavelib)
add_executable(swt2test swt2test.c)
target_link_libraries(swt2test wavelib)
add_executable(modwt2test modwt2test.c)
target_link_libraries(modwt2test wavelib)
set_target_properties(cwttest dwttest swttest modwttest dwpttest wtreetest denoisetest modwtdenoisetest dwt2test swt2test modwt2test
PROPERTIES
RUNTIME_OUTPUT_DIRECTORY "${CMAKE_SOURCE_DIR}/test"
)

View File

@ -1,109 +0,0 @@
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <math.h>
#include "../header/wavelib.h"
int main() {
int i, N, J,subscale,a0,iter,nd,k;
double *inp,*oup;
double dt, dj,s0, param,mn;
double td,tn,den, num, recon_mean, recon_var;
cwt_object wt;
FILE *ifp;
double temp[1200];
char *wave = "morlet";// Set Morlet wavelet. Other options "paul" and "dog"
char *type = "pow";
N = 504;
param = 6.0;
subscale = 4;
dt = 0.25;
s0 = dt;
dj = 1.0 / (double)subscale;
J = 11 * subscale; // Total Number of scales
a0 = 2;//power
ifp = fopen("sst_nino3.dat", "r");
i = 0;
if (!ifp) {
printf("Cannot Open File");
exit(100);
}
while (!feof(ifp)) {
fscanf(ifp, "%lf \n", &temp[i]);
i++;
}
fclose(ifp);
wt = cwt_init(wave, param, N,dt, J);
inp = (double*)malloc(sizeof(double)* N);
oup = (double*)malloc(sizeof(double)* N);
for (i = 0; i < N; ++i) {
inp[i] = temp[i] ;
}
setCWTScales(wt, s0, dj, type, a0);
cwt(wt, inp);
printf("\n MEAN %g \n", wt->smean);
mn = 0.0;
for (i = 0; i < N; ++i) {
mn += sqrt(wt->output[i].re * wt->output[i].re + wt->output[i].im * wt->output[i].im);
}
cwt_summary(wt);
printf("\n abs mean %g \n", mn / N);
printf("\n\n");
printf("Let CWT w = w(j, n/2 - 1) where n = %d\n\n", N);
nd = N/2 - 1;
printf("%-15s%-15s%-15s%-15s \n","j","Scale","Period","ABS(w)^2");
for(k = 0; k < wt->J;++k) {
iter = nd + k * N;
printf("%-15d%-15lf%-15lf%-15lf \n",k,wt->scale[k],wt->period[k],
wt->output[iter].re * wt->output[iter].re + wt->output[iter].im * wt->output[iter].im);
}
icwt(wt, oup);
num = den = recon_var = recon_mean = 0.0;
printf("\n\n");
printf("Signal Reconstruction\n");
printf("%-15s%-15s%-15s \n","i","Input(i)","Output(i)");
for (i = N - 10; i < N; ++i) {
printf("%-15d%-15lf%-15lf \n", i,inp[i] , oup[i]);
}
for (i = 0; i < N; ++i) {
//printf("%g %g \n", oup[i] ,inp[i] - wt->smean);
td = inp[i] ;
tn = oup[i] - td;
num += (tn * tn);
den += (td * td);
recon_mean += oup[i];
}
recon_var = sqrt(num / N);
recon_mean /= N;
printf("\nRMS Error %g \n", sqrt(num) / sqrt(den));
printf("\nVariance %g \n", recon_var);
printf("\nMean %g \n", recon_mean);
free(inp);
free(oup);
cwt_free(wt);
return 0;
}

View File

@ -1,139 +0,0 @@
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <math.h>
#include "../header/wauxlib.h"
static double rmse(int N,double *x,double *y) {
double rms;
int i;
rms = 0.0;
for(i = 0; i < N;++i) {
rms += (x[i] - y[i]) * (x[i] - y[i]);
}
rms = sqrt(rms/(double)N);
return rms;
}
static double corrcoef(int N,double *x,double *y) {
double cc,xm,ym,tx,ty,num,den1,den2;
int i;
xm = ym = 0.0;
for(i = 0; i < N;++i) {
xm += x[i];
ym += y[i];
}
xm = xm/N;
ym = ym / N;
num = den1 = den2 = 0.0;
for(i = 0; i < N;++i) {
tx = x[i] - xm;
ty = y[i] - ym;
num += (tx*ty);
den1 += (tx*tx);
den2 += (ty*ty);
}
cc = num / sqrt(den1*den2);
return cc;
}
int main() {
// gcc -Wall -I../header -L../Bin denoisetest.c -o denoise -lwauxlib -lwavelib -lm
double *sig,*inp,*oup;
int i,N,J;
FILE *ifp;
denoise_object obj;
double temp[2400];
char *wname = "db5";
char *method = "dwt";// Available - dwt, swt and modwt. modwt works only with modwtshrink. The other two methods work with
// visushrink and sureshrink
char *ext = "sym";// sym and per work with dwt. swt and modwt only use per extension when called through denoise.
// You can use sy extension if you directly call modwtshrink with cmethod set to fft. See modwtdenoisetest.c file
char *thresh = "soft";// soft or hard
char *level = "all"; // noise estimation at "first" or "all" levels. modwt only has the option of "all"
ifp = fopen("pieceregular1024.txt", "r");
i = 0;
if (!ifp) {
printf("Cannot Open File");
exit(100);
}
while (!feof(ifp)) {
fscanf(ifp, "%lf \n", &temp[i]);
i++;
}
fclose(ifp);
N = i;
J = 4;
sig = (double*)malloc(sizeof(double)* N);
inp = (double*)malloc(sizeof(double)* N);
oup = (double*)malloc(sizeof(double)* N);
for(i = 0; i < N;++i) {
sig[i] = temp[i];
}
ifp = fopen("PieceRegular10.txt", "r");
i = 0;
if (!ifp) {
printf("Cannot Open File");
exit(100);
}
while (!feof(ifp)) {
fscanf(ifp, "%lf \n", &temp[i]);
i++;
}
fclose(ifp);
for(i = 0; i < N;++i) {
inp[i] = temp[i];
}
obj = denoise_init(N,J,wname);
setDenoiseMethod(obj,"visushrink");// sureshrink is also the default. The other option with dwt and swt is visushrink.
// modwt works only with modwtshrink method
setDenoiseWTMethod(obj,method);// Default is dwt. the other options are swt and modwt
setDenoiseWTExtension(obj,ext);// Default is sym. the other option is per
setDenoiseParameters(obj,thresh,level);// Default for thresh is soft. Other option is hard
// Default for level is all. The other option is first
denoise(obj,inp,oup);
// Alternative to denoise_object
// Just use visushrink, modwtshrink and sureshrink functions
//visushrink(inp,N,J,wname,method,ext,thresh,level,oup);
//sureshrink(inp,N,J,wname,method,ext,thresh,level,oup);
// modwtshrink(sig,N,J,wname,cmethod,ext,thresh,oup); See modwtdenoisetest.c
//ofp = fopen("denoiseds.txt", "w");
printf("Signal - Noisy Signal Stats \n");
printf("RMSE %g\n",rmse(N,sig,inp));
printf("Corr Coeff %g\n",corrcoef(N,sig,inp));
printf("Signal - DeNoised Signal Stats \n");
printf("RMSE %g\n",rmse(N,sig,oup));
printf("Corr Coeff %g\n",corrcoef(N,sig,oup));
free(sig);
free(inp);
denoise_free(obj);
free(oup);
return 0;
}

View File

@ -1,61 +0,0 @@
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <math.h>
#include "../header/wavelib.h"
double absmax(double *array, int N) {
double max;
int i;
max = 0.0;
for (i = 0; i < N; ++i) {
if (fabs(array[i]) >= max) {
max = fabs(array[i]);
}
}
return max;
}
int main() {
int i, J, N;
wave_object obj;
wpt_object wt;
double *inp, *oup, *diff;
char *name = "db4";
obj = wave_init(name);// Initialize the wavelet
N = 788 + 23;
inp = (double*)malloc(sizeof(double)* N);
oup = (double*)malloc(sizeof(double)* N);
diff = (double*)malloc(sizeof(double)* N);
for (i = 1; i < N + 1; ++i) {
//inp[i - 1] = -0.25*i*i*i + 25 * i *i + 10 * i;
inp[i - 1] = i;
}
J = 4;
wt = wpt_init(obj, N, J);// Initialize the wavelet transform Tree object
setDWPTExtension(wt, "per");// Options are "per" and "sym". Symmetric is the default option
setDWPTEntropy(wt, "logenergy", 0);
dwpt(wt, inp); // Discrete Wavelet Packet Transform
idwpt(wt, oup); // Inverse Discrete Wavelet Packet Transform
for (i = 0; i < N; ++i) {
diff[i] = (inp[i] - oup[i])/inp[i];
}
wpt_summary(wt); // Tree Summary
printf("\n MAX %g \n", absmax(diff, wt->siglength)); // If Reconstruction succeeded then the output should be a small value.
free(inp);
free(oup);
free(diff);
wave_free(obj);
wpt_free(wt);
return 0;
}

View File

@ -1,87 +0,0 @@
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <math.h>
#include <time.h>
#include "../header/wavelib.h"
double absmax(double *array, int N) {
double max;
int i;
max = 0.0;
for (i = 0; i < N; ++i) {
if (fabs(array[i]) >= max) {
max = fabs(array[i]);
}
}
return max;
}
double generate_rnd() {
double rnd;
rnd = (double) (rand() % 100 + 1);
return rnd;
}
int main() {
wave_object obj;
wt2_object wt;
int i, k, J, rows, cols,N;
double *inp, *wavecoeffs,*oup,*diff;
double *cLL;
int ir, ic;
double amax;
rows = 32;
cols = 30;
N = rows*cols;
char *name = "db2";
obj = wave_init(name);// Initialize the wavelet
srand(time(0));
inp = (double*)calloc(N, sizeof(double));
oup = (double*)calloc(N, sizeof(double));
diff = (double*)calloc(N, sizeof(double));
J = 3;
wt = wt2_init(obj, "dwt", rows,cols, J);
for (i = 0; i < rows; ++i) {
for (k = 0; k < cols; ++k) {
//inp[i*cols + k] = i*cols + k;
inp[i*cols + k] = generate_rnd();
oup[i*cols + k] = 0.0;
}
}
wavecoeffs = dwt2(wt, inp);
cLL = getWT2Coeffs(wt, wavecoeffs, 1, "D", &ir, &ic);
dispWT2Coeffs(cLL, ir, ic);
idwt2(wt, wavecoeffs, oup);
for (i = 0; i < rows*cols; ++i) {
diff[i] = oup[i] - inp[i];
}
amax = absmax(diff, rows*cols);
wt2_summary(wt);
printf("Abs Max %g \n", amax);
wave_free(obj);
wt2_free(wt);
free(inp);
free(wavecoeffs);
free(oup);
free(diff);
return 0;
}

View File

@ -41,8 +41,6 @@ int main() {
i++;
}
N = 256;
fclose(ifp);
inp = (double*)malloc(sizeof(double)* N);
out = (double*)malloc(sizeof(double)* N);

View File

@ -1,82 +0,0 @@
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <math.h>
#include <time.h>
#include "../header/wavelib.h"
double absmax(double *array, int N) {
double max;
int i;
max = 0.0;
for (i = 0; i < N; ++i) {
if (fabs(array[i]) >= max) {
max = fabs(array[i]);
}
}
return max;
}
double generate_rnd() {
double rnd;
rnd = (double) (rand() % 100 + 1);
return rnd;
}
int main() {
wave_object obj;
wt2_object wt;
int i, k, J, rows, cols,N,ir,ic;
double *inp, *wavecoeffs, *oup,*cLL,*diff;
double amax;
rows = 51;
cols = 40;
N = rows*cols;
char *name = "db2";
obj = wave_init(name);// Initialize the wavelet
inp = (double*)calloc(N, sizeof(double));
oup = (double*)calloc(N, sizeof(double));
diff = (double*)calloc(N, sizeof(double));
J = 2;
wt = wt2_init(obj, "modwt", rows, cols, J);
for (i = 0; i < rows; ++i) {
for (k = 0; k < cols; ++k) {
//inp[i*cols + k] = i*cols + k;
inp[i*cols + k] = generate_rnd();
oup[i*cols + k] = 0.0;
}
}
wavecoeffs = modwt2(wt, inp);
cLL = getWT2Coeffs(wt, wavecoeffs, J, "A", &ir, &ic);
//dispWT2Coeffs(cLL, ir, ic);
imodwt2(wt, wavecoeffs, oup);
for (i = 0; i < N; ++i) {
diff[i] = oup[i] - inp[i];
}
amax = absmax(diff, N);
wt2_summary(wt);
printf("Abs Max %g \n", amax);
wave_free(obj);
wt2_free(wt);
free(inp);
free(wavecoeffs);
free(oup);
free(diff);
return 0;
}

View File

@ -1,123 +0,0 @@
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <math.h>
#include "../header/wauxlib.h"
static double rmse(int N,double *x,double *y) {
double rms;
int i;
rms = 0.0;
for(i = 0; i < N;++i) {
rms += (x[i] - y[i]) * (x[i] - y[i]);
}
rms = sqrt(rms/(double)N);
return rms;
}
static double corrcoef(int N,double *x,double *y) {
double cc,xm,ym,tx,ty,num,den1,den2;
int i;
xm = ym = 0.0;
for(i = 0; i < N;++i) {
xm += x[i];
ym += y[i];
}
xm = xm/N;
ym = ym / N;
num = den1 = den2 = 0.0;
for(i = 0; i < N;++i) {
tx = x[i] - xm;
ty = y[i] - ym;
num += (tx*ty);
den1 += (tx*tx);
den2 += (ty*ty);
}
cc = num / sqrt(den1*den2);
return cc;
}
int main() {
// gcc -Wall -I../header -L../Bin modwtdenoisetest.c -o modwtdenoise -lwauxlib -lwavelib -lm
/*
modwtshrink can also be called from the denoise object. See denoisetest.c for more information
*/
double *sig,*inp,*oup;
int i,N,J;
FILE *ifp;
double temp[2400];
char *wname = "db5";
char *ext = "per";// The other option sym is only available with "fft" cmethod
char *thresh = "soft";
char *cmethod = "direct";// The other option is "fft"
ifp = fopen("pieceregular1024.txt", "r");
i = 0;
if (!ifp) {
printf("Cannot Open File");
exit(100);
}
while (!feof(ifp)) {
fscanf(ifp, "%lf \n", &temp[i]);
i++;
}
fclose(ifp);
N = i;
J = 4;
sig = (double*)malloc(sizeof(double)* N);
inp = (double*)malloc(sizeof(double)* N);
oup = (double*)malloc(sizeof(double)* N);
for(i = 0; i < N;++i) {
sig[i] = temp[i];
}
ifp = fopen("PieceRegular10.txt", "r");
i = 0;
if (!ifp) {
printf("Cannot Open File");
exit(100);
}
while (!feof(ifp)) {
fscanf(ifp, "%lf \n", &temp[i]);
i++;
}
fclose(ifp);
for(i = 0; i < N;++i) {
inp[i] = temp[i];
}
modwtshrink(sig,N,J,wname,cmethod,ext,thresh,oup);
printf("Signal - Noisy Signal Stats \n");
printf("RMSE %g\n",rmse(N,sig,inp));
printf("Corr Coeff %g\n",corrcoef(N,sig,inp));
printf("Signal - DeNoised Signal Stats \n");
printf("RMSE %g\n",rmse(N,sig,oup));
printf("Corr Coeff %g\n",corrcoef(N,sig,oup));
free(sig);
free(inp);
free(oup);
return 0;
}

View File

@ -42,8 +42,6 @@ int main() {
i++;
}
N = 177;
fclose(ifp);
inp = (double*)malloc(sizeof(double)* N);
out = (double*)malloc(sizeof(double)* N);

79926
test/s1.txt

File diff suppressed because it is too large Load Diff

View File

@ -1,504 +0,0 @@
-0.15
-0.30
-0.14
-0.41
-0.46
-0.66
-0.50
-0.80
-0.95
-0.72
-0.31
-0.71
-1.04
-0.77
-0.86
-0.84
-0.41
-0.49
-0.48
-0.72
-1.21
-0.80
0.16
0.46
0.40
1.00
2.17
2.50
2.34
0.80
0.14
-0.06
-0.34
-0.71
-0.34
-0.73
-0.48
-0.11
0.22
0.51
0.51
0.25
-0.10
-0.33
-0.42
-0.23
-0.53
-0.44
-0.30
0.15
0.09
0.19
-0.06
0.25
0.30
0.81
0.26
0.10
0.34
1.01
-0.31
-0.90
-0.73
-0.92
-0.73
-0.31
-0.03
0.12
0.37
0.82
1.22
1.83
1.60
0.34
-0.72
-0.87
-0.85
-0.40
-0.39
-0.65
0.07
0.67
0.39
0.03
-0.17
-0.76
-0.87
-1.36
-1.10
-0.99
-0.78
-0.93
-0.87
-0.44
-0.34
-0.50
-0.39
-0.04
0.42
0.62
0.17
0.23
1.03
1.54
1.09
0.01
0.12
-0.27
-0.47
-0.41
-0.37
-0.36
-0.39
0.43
1.05
1.58
1.25
0.86
0.60
0.21
0.19
-0.23
-0.29
0.18
0.12
0.71
1.42
1.59
0.93
-0.25
-0.66
-0.95
-0.47
0.06
0.70
0.81
0.78
1.43
1.22
1.05
0.44
-0.35
-0.67
-0.84
-0.66
-0.45
-0.12
-0.20
-0.16
-0.47
-0.52
-0.79
-0.80
-0.62
-0.86
-1.29
-1.04
-1.05
-0.75
-0.81
-0.90
-0.25
0.62
1.22
0.96
0.21
-0.11
-0.25
-0.24
-0.43
0.23
0.67
0.78
0.41
0.98
1.28
1.45
1.02
0.03
-0.59
-1.34
-0.99
-1.49
-1.74
-1.33
-0.55
-0.51
-0.36
-0.99
0.32
1.04
1.41
0.99
0.66
0.50
0.22
0.71
-0.16
0.38
0.00
-1.11
-1.04
0.05
-0.64
-0.34
-0.50
-1.85
-0.94
-0.78
0.29
0.27
0.69
-0.06
-0.83
-0.80
-1.02
-0.96
-0.09
0.62
0.87
1.03
0.70
-0.10
-0.31
0.04
-0.46
0.04
0.24
-0.08
-0.28
0.06
0.05
-0.31
0.11
0.27
0.26
0.04
0.12
1.11
1.53
1.23
0.17
-0.18
-0.56
0.05
0.41
0.22
0.04
-0.19
-0.46
-0.65
-1.06
-0.54
0.14
0.25
-0.21
-0.73
-0.43
0.48
0.26
0.05
0.11
-0.27
-0.08
-0.10
0.29
-0.15
-0.28
-0.55
-0.44
-1.40
-0.55
-0.69
0.58
0.37
0.42
1.83
1.23
0.65
0.41
1.03
0.64
-0.07
0.98
0.36
-0.30
-1.33
-1.39
-0.94
0.34
-0.00
-0.15
0.06
0.39
0.36
-0.49
-0.53
0.35
0.07
-0.24
0.20
-0.22
-0.68
-0.44
0.02
-0.22
-0.30
-0.59
0.10
-0.02
-0.27
-0.60
-0.48
-0.37
-0.53
-1.35
-1.22
-0.99
-0.34
-0.79
-0.24
0.02
0.69
0.78
0.17
-0.17
-0.29
-0.27
0.31
0.44
0.38
0.24
-0.13
-0.89
-0.76
-0.71
-0.37
-0.59
-0.63
-1.47
-0.40
-0.18
-0.37
-0.43
-0.06
0.61
1.33
1.19
1.13
0.31
0.14
0.03
0.21
0.15
-0.22
-0.02
0.03
-0.17
0.12
-0.35
-0.06
0.38
-0.45
-0.32
-0.33
-0.49
-0.14
-0.56
-0.18
0.46
1.09
1.04
0.23
-0.99
-0.59
-0.92
-0.28
0.52
1.31
1.45
0.61
-0.11
-0.18
-0.39
-0.39
-0.36
-0.50
-0.81
-1.10
-0.29
0.57
0.68
0.78
0.78
0.63
0.98
0.49
-0.42
-1.34
-1.20
-1.18
-0.65
-0.42
-0.97
-0.28
0.77
1.77
2.22
1.05
-0.67
-0.99
-1.52
-1.17
-0.22
-0.04
-0.45
-0.46
-0.75
-0.70
-1.38
-1.15
-0.01
0.97
1.10
0.68
-0.02
-0.04
0.47
0.30
-0.55
-0.51
-0.09
-0.01
0.34
0.61
0.58
0.33
0.38
0.10
0.18
-0.30
-0.06
-0.28
0.12
0.58
0.89
0.93
2.39
2.44
1.92
0.64
-0.24
0.27
-0.13
-0.16
-0.54
-0.13
-0.37
-0.78
-0.22
0.03
0.25
0.31
1.03
1.10
1.05
1.11
1.28
0.57
-0.55
-1.16
-0.99
-0.38
0.01
-0.29
0.09
0.46
0.57
0.24
0.39
0.49
0.86
0.51
0.95
1.25
1.33
-0.00
0.34
0.66
1.11
0.34
0.48
0.56
0.39
-0.17
1.04
0.77
0.12
-0.35
-0.22
0.08
-0.08
-0.18
-0.06

View File

@ -1,83 +0,0 @@
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <math.h>
#include <time.h>
#include "../header/wavelib.h"
double absmax(double *array, int N) {
double max;
int i;
max = 0.0;
for (i = 0; i < N; ++i) {
if (fabs(array[i]) >= max) {
max = fabs(array[i]);
}
}
return max;
}
double generate_rnd() {
double rnd;
rnd = (double) (rand() % 100 + 1);
return rnd;
}
int main() {
wave_object obj;
wt2_object wt;
int i, k, J, rows, cols;
double *inp, *wavecoeffs, *oup, *cLL,*diff;
double amax;
int ir, ic, N;
rows = 64;
cols = 48;
char *name = "bior3.1";
obj = wave_init(name);// Initialize the wavelet
N = rows*cols;
inp = (double*)calloc(N, sizeof(double));
oup = (double*)calloc(N, sizeof(double));
diff = (double*)calloc(N, sizeof(double));
J = 2;
wt = wt2_init(obj, "swt", rows, cols, J);
for (i = 0; i < rows; ++i) {
for (k = 0; k < cols; ++k) {
//inp[i*cols + k] = i*cols + k;
inp[i*cols + k] = generate_rnd();
oup[i*cols + k] = 0.0;
}
}
wavecoeffs = swt2(wt, inp);
cLL = getWT2Coeffs(wt, wavecoeffs, J, "A", &ir, &ic);
dispWT2Coeffs(cLL, ir, ic);
iswt2(wt, wavecoeffs, oup);
for (i = 0; i < N; ++i) {
diff[i] = oup[i] - inp[i];
}
amax = absmax(diff, N);
wt2_summary(wt);
printf("Abs Max %g \n", amax);
wave_free(obj);
wt2_free(wt);
free(inp);
free(wavecoeffs);
free(oup);
free(diff);
return 0;
}

View File

@ -41,7 +41,7 @@ int main() {
i++;
}
N = 256;
fclose(ifp);
inp = (double*)malloc(sizeof(double)* N);
out = (double*)malloc(sizeof(double)* N);
diff = (double*)malloc(sizeof(double)* N);

View File

@ -1,47 +0,0 @@
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <math.h>
#include "../header/wavelib.h"
int main() {
int i, J, N, len;
int X, Y;
wave_object obj;
wtree_object wt;
double *inp, *oup;
char *name = "db3";
obj = wave_init(name);// Initialize the wavelet
N = 147;
inp = (double*)malloc(sizeof(double)* N);
for (i = 1; i < N + 1; ++i) {
inp[i - 1] = -0.25*i*i*i + 25 * i *i + 10 * i;
}
J = 3;
wt = wtree_init(obj, N, J);// Initialize the wavelet transform object
setWTREEExtension(wt, "sym");// Options are "per" and "sym". Symmetric is the default option
wtree(wt, inp);
wtree_summary(wt);
X = 3;
Y = 5;
len = getWTREENodelength(wt, X);
printf("\n %d", len);
printf("\n");
oup = (double*)malloc(sizeof(double)* len);
printf("Node [%d %d] Coefficients : \n",X,Y);
getWTREECoeffs(wt, X, Y, oup, len);
for (i = 0; i < len; ++i) {
printf("%g ", oup[i]);
}
printf("\n");
free(inp);
free(oup);
wave_free(obj);
wtree_free(wt);
return 0;
}

View File

@ -1,3 +0,0 @@
add_subdirectory(wavelibBoostTests)

View File

@ -1,27 +0,0 @@
set(SOURCE_FILES
tst_dwt.cpp
)
add_executable(wavelibLibTests ${SOURCE_FILES} )
add_test(NAME wavelibLibTests WORKING_DIRECTORY ${CMAKE_SOURCE_DIR}/test COMMAND wavelibLibTests)
add_dependencies(wavelibLibTests wavelib)
target_link_libraries(wavelibLibTests wavelib)
target_include_directories(wavelibLibTests PUBLIC
${CMAKE_CURRENT_SOURCE_DIR}/../../header
)
install(TARGETS wavelibLibTests
RUNTIME DESTINATION bin
LIBRARY DESTINATION tests
ARCHIVE DESTINATION tests
)

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