419 lines
24 KiB
Plaintext
419 lines
24 KiB
Plaintext
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Start TRACMT Version v2.0
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Read parameters. ( 0 sec )
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================================================================================
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Summary of control parameters
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================================================================================
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Number of threads : 1
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Procedure type : ordinary remote reference
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The first M-estimator : not to be used
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The second M-estimator : not to be used
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Error estimation method : parametric
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Number of output variables : 2
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Number of input variables : 2
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Number of remote reference variables : 2
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Sampling frequency (Hz) : 32
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Number of time-series sections : 1
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Ratio of overlapping part to whole segment length : 0.5
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Output level : 0
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Output apparent resistivity and phase to a seperate csv file
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Information about the segment lengths and frequencies :
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Segment# Length Index Frequency(Hz) Period(sec)
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0 65536 3 1.464843750e-03 6.826666667e+02
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0 65536 4 1.953125000e-03 5.120000000e+02
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1 32768 3 2.929687500e-03 3.413333333e+02
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1 32768 4 3.906250000e-03 2.560000000e+02
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2 16384 3 5.859375000e-03 1.706666667e+02
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2 16384 4 7.812500000e-03 1.280000000e+02
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3 8192 3 1.171875000e-02 8.533333333e+01
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3 8192 4 1.562500000e-02 6.400000000e+01
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4 4096 3 2.343750000e-02 4.266666667e+01
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4 4096 4 3.125000000e-02 3.200000000e+01
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5 2048 3 4.687500000e-02 2.133333333e+01
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5 2048 4 6.250000000e-02 1.600000000e+01
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6 1024 3 9.375000000e-02 1.066666667e+01
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6 1024 4 1.250000000e-01 8.000000000e+00
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7 512 3 1.875000000e-01 5.333333333e+00
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7 512 4 2.500000000e-01 4.000000000e+00
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8 256 3 3.750000000e-01 2.666666667e+00
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8 256 4 5.000000000e-01 2.000000000e+00
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9 128 3 7.500000000e-01 1.333333333e+00
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9 128 4 1.000000000e+00 1.000000000e+00
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Information about the time-series data :
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Section# Channel# Type NSkip NData File
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0 0 Out0 0 2764800 ../ex.txt
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0 1 Out1 0 2764800 ../ey.txt
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0 2 Inp0 0 2764800 ../hx.txt
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0 3 Inp1 0 2764800 ../hy.txt
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0 4 RR0 0 2764800 ../hrx.txt
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0 5 RR1 0 2764800 ../hry.txt
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Rotation angle (deg.) : 0
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Channel# Type Azimuth(deg.)
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0 Out0 0
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1 Out1 90
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2 Inp0 0
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3 Inp1 90
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4 RR0 0
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5 RR1 90
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Parameters for robust prewhitening :
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Least square estimator is used
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Maximum degree of AR model: 10
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================================================================================
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Read data from ../ex.txt ( 0 sec )
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Read data from ../ey.txt ( 1 sec )
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Read data from ../hx.txt ( 2 sec )
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Read data from ../hy.txt ( 3 sec )
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Read data from ../hrx.txt ( 4 sec )
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Read data from ../hry.txt ( 4 sec )
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Perform preprocessing ( 5 sec )
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Secton 0, Channel 0 ( 5 sec )
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Subtract mean (-0.889991) ( 5 sec )
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Secton 0, Channel 1 ( 5 sec )
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Subtract mean (1.69968) ( 5 sec )
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Secton 0, Channel 2 ( 5 sec )
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Subtract mean (0.0092652) ( 5 sec )
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Secton 0, Channel 3 ( 5 sec )
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Subtract mean (1.30261) ( 5 sec )
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Secton 0, Channel 4 ( 5 sec )
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Subtract mean (0.0346805) ( 5 sec )
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Secton 0, Channel 5 ( 5 sec )
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Subtract mean (1.2857) ( 5 sec )
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Perform prewhitening for channel 0 ( 5 sec )
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Degree of AR model: 1, Sigma: 7.6076, AIC: 1.90665e+07 ( 5 sec )
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Degree of AR model: 2, Sigma: 7.60293, AIC: 1.90631e+07 ( 5 sec )
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Degree of AR model: 3, Sigma: 7.59862, AIC: 1.906e+07 ( 5 sec )
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Degree of AR model: 4, Sigma: 7.5946, AIC: 1.90571e+07 ( 5 sec )
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Degree of AR model: 5, Sigma: 7.59088, AIC: 1.90544e+07 ( 5 sec )
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Degree of AR model: 6, Sigma: 7.58783, AIC: 1.90521e+07 ( 5 sec )
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Degree of AR model: 7, Sigma: 7.58446, AIC: 1.90497e+07 ( 5 sec )
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Degree of AR model: 8, Sigma: 7.58162, AIC: 1.90476e+07 ( 5 sec )
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Degree of AR model: 9, Sigma: 7.57884, AIC: 1.90456e+07 ( 5 sec )
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Degree of AR model: 10, Sigma: 7.57665, AIC: 1.9044e+07 ( 6 sec )
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The AR model of 10 degress gives the minimum AIC (1.9044e+07) ( 6 sec )
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AR coefficients: 0.0320459 0.0276236 0.0274305 0.0273417 0.0271195 0.0250291 0.0274279 0.0257729 0.0263083 0.0240252 ( 6 sec )
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Perform prewhitening for channel 1 ( 6 sec )
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Degree of AR model: 1, Sigma: 7.54273, AIC: 1.90192e+07 ( 6 sec )
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Degree of AR model: 2, Sigma: 7.52209, AIC: 1.9004e+07 ( 6 sec )
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Degree of AR model: 3, Sigma: 7.50561, AIC: 1.89919e+07 ( 6 sec )
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Degree of AR model: 4, Sigma: 7.49133, AIC: 1.89814e+07 ( 6 sec )
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Degree of AR model: 5, Sigma: 7.47891, AIC: 1.89722e+07 ( 6 sec )
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Degree of AR model: 6, Sigma: 7.46782, AIC: 1.8964e+07 ( 6 sec )
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Degree of AR model: 7, Sigma: 7.45798, AIC: 1.89567e+07 ( 6 sec )
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Degree of AR model: 8, Sigma: 7.44899, AIC: 1.895e+07 ( 6 sec )
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Degree of AR model: 9, Sigma: 7.44151, AIC: 1.89444e+07 ( 6 sec )
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Degree of AR model: 10, Sigma: 7.43417, AIC: 1.8939e+07 ( 6 sec )
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The AR model of 10 degress gives the minimum AIC (1.8939e+07) ( 6 sec )
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AR coefficients: 0.0497931 0.0484711 0.0453945 0.0449254 0.0443603 0.0443792 0.0440958 0.0444201 0.0425092 0.0444076 ( 6 sec )
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Perform prewhitening for channel 2 ( 6 sec )
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Degree of AR model: 1, Sigma: 1.15041, AIC: 8.62097e+06 ( 6 sec )
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Degree of AR model: 2, Sigma: 0.999605, AIC: 7.84398e+06 ( 6 sec )
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Degree of AR model: 3, Sigma: 0.94325, AIC: 7.5231e+06 ( 6 sec )
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Degree of AR model: 4, Sigma: 0.913582, AIC: 7.34638e+06 ( 6 sec )
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Degree of AR model: 5, Sigma: 0.895124, AIC: 7.23352e+06 ( 6 sec )
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Degree of AR model: 6, Sigma: 0.882753, AIC: 7.15657e+06 ( 6 sec )
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Degree of AR model: 7, Sigma: 0.873879, AIC: 7.1007e+06 ( 6 sec )
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Degree of AR model: 8, Sigma: 0.867031, AIC: 7.0572e+06 ( 6 sec )
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Degree of AR model: 9, Sigma: 0.861586, AIC: 7.02236e+06 ( 6 sec )
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Degree of AR model: 10, Sigma: 0.857167, AIC: 6.99392e+06 ( 6 sec )
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The AR model of 10 degress gives the minimum AIC (6.99392e+06) ( 6 sec )
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AR coefficients: 0.100812 0.0994283 0.099345 0.0994338 0.100341 0.0991599 0.0983786 0.0996401 0.100555 0.101158 ( 6 sec )
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Perform prewhitening for channel 3 ( 6 sec )
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Degree of AR model: 1, Sigma: 1.15933, AIC: 8.66365e+06 ( 6 sec )
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Degree of AR model: 2, Sigma: 1.01002, AIC: 7.90131e+06 ( 6 sec )
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Degree of AR model: 3, Sigma: 0.95364, AIC: 7.58368e+06 ( 6 sec )
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Degree of AR model: 4, Sigma: 0.923737, AIC: 7.40751e+06 ( 6 sec )
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Degree of AR model: 5, Sigma: 0.905428, AIC: 7.29681e+06 ( 6 sec )
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Degree of AR model: 6, Sigma: 0.892914, AIC: 7.21985e+06 ( 6 sec )
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Degree of AR model: 7, Sigma: 0.884029, AIC: 7.16455e+06 ( 6 sec )
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Degree of AR model: 8, Sigma: 0.877216, AIC: 7.12177e+06 ( 6 sec )
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Degree of AR model: 9, Sigma: 0.871841, AIC: 7.08779e+06 ( 6 sec )
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Degree of AR model: 10, Sigma: 0.867445, AIC: 7.05983e+06 ( 7 sec )
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The AR model of 10 degress gives the minimum AIC (7.05983e+06) ( 7 sec )
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AR coefficients: 0.0992426 0.0997661 0.0999695 0.100685 0.0994892 0.0998831 0.0983119 0.0990847 0.0994668 0.100303 ( 7 sec )
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Perform prewhitening for channel 4 ( 7 sec )
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Degree of AR model: 1, Sigma: 1.16254, AIC: 8.67898e+06 ( 7 sec )
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Degree of AR model: 2, Sigma: 1.00903, AIC: 7.89586e+06 ( 7 sec )
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Degree of AR model: 3, Sigma: 0.952405, AIC: 7.57651e+06 ( 7 sec )
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Degree of AR model: 4, Sigma: 0.922235, AIC: 7.39851e+06 ( 7 sec )
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Degree of AR model: 5, Sigma: 0.90364, AIC: 7.28588e+06 ( 7 sec )
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Degree of AR model: 6, Sigma: 0.891244, AIC: 7.2095e+06 ( 7 sec )
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Degree of AR model: 7, Sigma: 0.882213, AIC: 7.15318e+06 ( 7 sec )
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Degree of AR model: 8, Sigma: 0.875262, AIC: 7.10944e+06 ( 7 sec )
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Degree of AR model: 9, Sigma: 0.869864, AIC: 7.07523e+06 ( 7 sec )
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Degree of AR model: 10, Sigma: 0.865547, AIC: 7.04772e+06 ( 7 sec )
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The AR model of 10 degress gives the minimum AIC (7.04772e+06) ( 7 sec )
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AR coefficients: 0.0989261 0.10121 0.0987917 0.100744 0.100552 0.0988028 0.0993482 0.100374 0.0999452 0.0995135 ( 7 sec )
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Perform prewhitening for channel 5 ( 7 sec )
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Degree of AR model: 1, Sigma: 1.16036, AIC: 8.66857e+06 ( 7 sec )
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Degree of AR model: 2, Sigma: 1.01086, AIC: 7.90589e+06 ( 7 sec )
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Degree of AR model: 3, Sigma: 0.953982, AIC: 7.58566e+06 ( 7 sec )
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Degree of AR model: 4, Sigma: 0.924434, AIC: 7.41168e+06 ( 7 sec )
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Degree of AR model: 5, Sigma: 0.906107, AIC: 7.30095e+06 ( 7 sec )
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Degree of AR model: 6, Sigma: 0.893431, AIC: 7.22305e+06 ( 7 sec )
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Degree of AR model: 7, Sigma: 0.884431, AIC: 7.16707e+06 ( 7 sec )
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Degree of AR model: 8, Sigma: 0.877486, AIC: 7.12347e+06 ( 7 sec )
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Degree of AR model: 9, Sigma: 0.872098, AIC: 7.08941e+06 ( 7 sec )
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Degree of AR model: 10, Sigma: 0.867816, AIC: 7.0622e+06 ( 7 sec )
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The AR model of 10 degress gives the minimum AIC (7.0622e+06) ( 7 sec )
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AR coefficients: 0.0995885 0.098903 0.101124 0.0988656 0.0991358 0.100713 0.0990429 0.100438 0.0997109 0.0989688 ( 7 sec )
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===============================================================================
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Perform analysis for segment length : 65536 ( 7 sec )
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Convert time-series data to frequency-domain ( 7 sec )
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Total number of segments : 83 ( 7 sec )
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-------------------------------------------------------------------------------
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Now Frequency(Hz): 0.00146484, Period(s): 682.667 ( 10 sec )
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Perform calibration correction ( 10 sec )
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Calculate rotated fields ( 10 sec )
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Calculate response functions by ordinary remote reference ( 10 sec )
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Calculate response functions for output variable 0 ( 10 sec )
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Calculate response functions by the ordinary least square method ( 10 sec )
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Parametric error estimation is performed ( 10 sec )
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Calculate response functions for output variable 1 ( 10 sec )
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Calculate response functions by the ordinary least square method ( 10 sec )
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Parametric error estimation is performed ( 10 sec )
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-------------------------------------------------------------------------------
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Now Frequency(Hz): 0.00195312, Period(s): 512 ( 10 sec )
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Perform calibration correction ( 10 sec )
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Calculate rotated fields ( 10 sec )
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Calculate response functions by ordinary remote reference ( 10 sec )
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Calculate response functions for output variable 0 ( 10 sec )
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Calculate response functions by the ordinary least square method ( 10 sec )
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Parametric error estimation is performed ( 10 sec )
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Calculate response functions for output variable 1 ( 10 sec )
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Calculate response functions by the ordinary least square method ( 10 sec )
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Parametric error estimation is performed ( 10 sec )
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===============================================================================
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Perform analysis for segment length : 32768 ( 10 sec )
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Convert time-series data to frequency-domain ( 10 sec )
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Total number of segments : 167 ( 10 sec )
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-------------------------------------------------------------------------------
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Now Frequency(Hz): 0.00292969, Period(s): 341.333 ( 12 sec )
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Perform calibration correction ( 12 sec )
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Calculate rotated fields ( 12 sec )
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Calculate response functions by ordinary remote reference ( 12 sec )
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Calculate response functions for output variable 0 ( 12 sec )
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Calculate response functions by the ordinary least square method ( 12 sec )
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Parametric error estimation is performed ( 12 sec )
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Calculate response functions for output variable 1 ( 12 sec )
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Calculate response functions by the ordinary least square method ( 12 sec )
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Parametric error estimation is performed ( 12 sec )
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-------------------------------------------------------------------------------
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Now Frequency(Hz): 0.00390625, Period(s): 256 ( 12 sec )
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Perform calibration correction ( 12 sec )
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Calculate rotated fields ( 12 sec )
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Calculate response functions by ordinary remote reference ( 12 sec )
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Calculate response functions for output variable 0 ( 12 sec )
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Calculate response functions by the ordinary least square method ( 12 sec )
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Parametric error estimation is performed ( 12 sec )
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Calculate response functions for output variable 1 ( 12 sec )
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Calculate response functions by the ordinary least square method ( 12 sec )
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Parametric error estimation is performed ( 12 sec )
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===============================================================================
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Perform analysis for segment length : 16384 ( 12 sec )
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Convert time-series data to frequency-domain ( 12 sec )
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Total number of segments : 336 ( 12 sec )
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-------------------------------------------------------------------------------
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Now Frequency(Hz): 0.00585938, Period(s): 170.667 ( 14 sec )
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Perform calibration correction ( 14 sec )
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Calculate rotated fields ( 14 sec )
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Calculate response functions by ordinary remote reference ( 14 sec )
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Calculate response functions for output variable 0 ( 14 sec )
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Calculate response functions by the ordinary least square method ( 14 sec )
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Parametric error estimation is performed ( 14 sec )
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Calculate response functions for output variable 1 ( 14 sec )
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Calculate response functions by the ordinary least square method ( 14 sec )
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Parametric error estimation is performed ( 14 sec )
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-------------------------------------------------------------------------------
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Now Frequency(Hz): 0.0078125, Period(s): 128 ( 14 sec )
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Perform calibration correction ( 14 sec )
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Calculate rotated fields ( 14 sec )
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Calculate response functions by ordinary remote reference ( 14 sec )
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Calculate response functions for output variable 0 ( 14 sec )
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Calculate response functions by the ordinary least square method ( 14 sec )
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Parametric error estimation is performed ( 14 sec )
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Calculate response functions for output variable 1 ( 14 sec )
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Calculate response functions by the ordinary least square method ( 14 sec )
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Parametric error estimation is performed ( 14 sec )
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===============================================================================
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Perform analysis for segment length : 8192 ( 14 sec )
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Convert time-series data to frequency-domain ( 14 sec )
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Total number of segments : 674 ( 14 sec )
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-------------------------------------------------------------------------------
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Now Frequency(Hz): 0.0117188, Period(s): 85.3333 ( 16 sec )
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Perform calibration correction ( 16 sec )
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Calculate rotated fields ( 16 sec )
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Calculate response functions by ordinary remote reference ( 16 sec )
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Calculate response functions for output variable 0 ( 16 sec )
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Calculate response functions by the ordinary least square method ( 16 sec )
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Parametric error estimation is performed ( 16 sec )
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Calculate response functions for output variable 1 ( 16 sec )
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Calculate response functions by the ordinary least square method ( 16 sec )
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Parametric error estimation is performed ( 16 sec )
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-------------------------------------------------------------------------------
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Now Frequency(Hz): 0.015625, Period(s): 64 ( 16 sec )
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Perform calibration correction ( 16 sec )
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Calculate rotated fields ( 16 sec )
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Calculate response functions by ordinary remote reference ( 16 sec )
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Calculate response functions for output variable 0 ( 16 sec )
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Calculate response functions by the ordinary least square method ( 16 sec )
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Parametric error estimation is performed ( 16 sec )
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Calculate response functions for output variable 1 ( 16 sec )
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Calculate response functions by the ordinary least square method ( 16 sec )
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Parametric error estimation is performed ( 16 sec )
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===============================================================================
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Perform analysis for segment length : 4096 ( 16 sec )
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Convert time-series data to frequency-domain ( 16 sec )
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Total number of segments : 1349 ( 16 sec )
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-------------------------------------------------------------------------------
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Now Frequency(Hz): 0.0234375, Period(s): 42.6667 ( 17 sec )
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Perform calibration correction ( 17 sec )
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Calculate rotated fields ( 17 sec )
|
||
|
|
Calculate response functions by ordinary remote reference ( 17 sec )
|
||
|
|
Calculate response functions for output variable 0 ( 17 sec )
|
||
|
|
Calculate response functions by the ordinary least square method ( 17 sec )
|
||
|
|
Parametric error estimation is performed ( 17 sec )
|
||
|
|
Calculate response functions for output variable 1 ( 17 sec )
|
||
|
|
Calculate response functions by the ordinary least square method ( 17 sec )
|
||
|
|
Parametric error estimation is performed ( 17 sec )
|
||
|
|
-------------------------------------------------------------------------------
|
||
|
|
Now Frequency(Hz): 0.03125, Period(s): 32 ( 17 sec )
|
||
|
|
Perform calibration correction ( 17 sec )
|
||
|
|
Calculate rotated fields ( 17 sec )
|
||
|
|
Calculate response functions by ordinary remote reference ( 17 sec )
|
||
|
|
Calculate response functions for output variable 0 ( 17 sec )
|
||
|
|
Calculate response functions by the ordinary least square method ( 17 sec )
|
||
|
|
Parametric error estimation is performed ( 17 sec )
|
||
|
|
Calculate response functions for output variable 1 ( 17 sec )
|
||
|
|
Calculate response functions by the ordinary least square method ( 17 sec )
|
||
|
|
Parametric error estimation is performed ( 17 sec )
|
||
|
|
===============================================================================
|
||
|
|
Perform analysis for segment length : 2048 ( 17 sec )
|
||
|
|
Convert time-series data to frequency-domain ( 17 sec )
|
||
|
|
Total number of segments : 2699 ( 17 sec )
|
||
|
|
-------------------------------------------------------------------------------
|
||
|
|
Now Frequency(Hz): 0.046875, Period(s): 21.3333 ( 19 sec )
|
||
|
|
Perform calibration correction ( 19 sec )
|
||
|
|
Calculate rotated fields ( 19 sec )
|
||
|
|
Calculate response functions by ordinary remote reference ( 19 sec )
|
||
|
|
Calculate response functions for output variable 0 ( 19 sec )
|
||
|
|
Calculate response functions by the ordinary least square method ( 19 sec )
|
||
|
|
Parametric error estimation is performed ( 19 sec )
|
||
|
|
Calculate response functions for output variable 1 ( 19 sec )
|
||
|
|
Calculate response functions by the ordinary least square method ( 19 sec )
|
||
|
|
Parametric error estimation is performed ( 19 sec )
|
||
|
|
-------------------------------------------------------------------------------
|
||
|
|
Now Frequency(Hz): 0.0625, Period(s): 16 ( 19 sec )
|
||
|
|
Perform calibration correction ( 19 sec )
|
||
|
|
Calculate rotated fields ( 19 sec )
|
||
|
|
Calculate response functions by ordinary remote reference ( 19 sec )
|
||
|
|
Calculate response functions for output variable 0 ( 19 sec )
|
||
|
|
Calculate response functions by the ordinary least square method ( 19 sec )
|
||
|
|
Parametric error estimation is performed ( 19 sec )
|
||
|
|
Calculate response functions for output variable 1 ( 19 sec )
|
||
|
|
Calculate response functions by the ordinary least square method ( 19 sec )
|
||
|
|
Parametric error estimation is performed ( 19 sec )
|
||
|
|
===============================================================================
|
||
|
|
Perform analysis for segment length : 1024 ( 19 sec )
|
||
|
|
Convert time-series data to frequency-domain ( 19 sec )
|
||
|
|
Total number of segments : 5399 ( 19 sec )
|
||
|
|
-------------------------------------------------------------------------------
|
||
|
|
Now Frequency(Hz): 0.09375, Period(s): 10.6667 ( 20 sec )
|
||
|
|
Perform calibration correction ( 20 sec )
|
||
|
|
Calculate rotated fields ( 20 sec )
|
||
|
|
Calculate response functions by ordinary remote reference ( 20 sec )
|
||
|
|
Calculate response functions for output variable 0 ( 20 sec )
|
||
|
|
Calculate response functions by the ordinary least square method ( 20 sec )
|
||
|
|
Parametric error estimation is performed ( 20 sec )
|
||
|
|
Calculate response functions for output variable 1 ( 20 sec )
|
||
|
|
Calculate response functions by the ordinary least square method ( 20 sec )
|
||
|
|
Parametric error estimation is performed ( 20 sec )
|
||
|
|
-------------------------------------------------------------------------------
|
||
|
|
Now Frequency(Hz): 0.125, Period(s): 8 ( 20 sec )
|
||
|
|
Perform calibration correction ( 20 sec )
|
||
|
|
Calculate rotated fields ( 20 sec )
|
||
|
|
Calculate response functions by ordinary remote reference ( 20 sec )
|
||
|
|
Calculate response functions for output variable 0 ( 20 sec )
|
||
|
|
Calculate response functions by the ordinary least square method ( 20 sec )
|
||
|
|
Parametric error estimation is performed ( 20 sec )
|
||
|
|
Calculate response functions for output variable 1 ( 20 sec )
|
||
|
|
Calculate response functions by the ordinary least square method ( 20 sec )
|
||
|
|
Parametric error estimation is performed ( 20 sec )
|
||
|
|
===============================================================================
|
||
|
|
Perform analysis for segment length : 512 ( 20 sec )
|
||
|
|
Convert time-series data to frequency-domain ( 20 sec )
|
||
|
|
Total number of segments : 10799 ( 20 sec )
|
||
|
|
-------------------------------------------------------------------------------
|
||
|
|
Now Frequency(Hz): 0.1875, Period(s): 5.33333 ( 22 sec )
|
||
|
|
Perform calibration correction ( 22 sec )
|
||
|
|
Calculate rotated fields ( 22 sec )
|
||
|
|
Calculate response functions by ordinary remote reference ( 22 sec )
|
||
|
|
Calculate response functions for output variable 0 ( 22 sec )
|
||
|
|
Calculate response functions by the ordinary least square method ( 22 sec )
|
||
|
|
Parametric error estimation is performed ( 22 sec )
|
||
|
|
Calculate response functions for output variable 1 ( 22 sec )
|
||
|
|
Calculate response functions by the ordinary least square method ( 22 sec )
|
||
|
|
Parametric error estimation is performed ( 22 sec )
|
||
|
|
-------------------------------------------------------------------------------
|
||
|
|
Now Frequency(Hz): 0.25, Period(s): 4 ( 22 sec )
|
||
|
|
Perform calibration correction ( 22 sec )
|
||
|
|
Calculate rotated fields ( 22 sec )
|
||
|
|
Calculate response functions by ordinary remote reference ( 22 sec )
|
||
|
|
Calculate response functions for output variable 0 ( 22 sec )
|
||
|
|
Calculate response functions by the ordinary least square method ( 22 sec )
|
||
|
|
Parametric error estimation is performed ( 22 sec )
|
||
|
|
Calculate response functions for output variable 1 ( 22 sec )
|
||
|
|
Calculate response functions by the ordinary least square method ( 22 sec )
|
||
|
|
Parametric error estimation is performed ( 22 sec )
|
||
|
|
===============================================================================
|
||
|
|
Perform analysis for segment length : 256 ( 22 sec )
|
||
|
|
Convert time-series data to frequency-domain ( 22 sec )
|
||
|
|
Total number of segments : 21599 ( 22 sec )
|
||
|
|
-------------------------------------------------------------------------------
|
||
|
|
Now Frequency(Hz): 0.375, Period(s): 2.66667 ( 24 sec )
|
||
|
|
Perform calibration correction ( 24 sec )
|
||
|
|
Calculate rotated fields ( 24 sec )
|
||
|
|
Calculate response functions by ordinary remote reference ( 24 sec )
|
||
|
|
Calculate response functions for output variable 0 ( 24 sec )
|
||
|
|
Calculate response functions by the ordinary least square method ( 24 sec )
|
||
|
|
Parametric error estimation is performed ( 24 sec )
|
||
|
|
Calculate response functions for output variable 1 ( 24 sec )
|
||
|
|
Calculate response functions by the ordinary least square method ( 24 sec )
|
||
|
|
Parametric error estimation is performed ( 24 sec )
|
||
|
|
-------------------------------------------------------------------------------
|
||
|
|
Now Frequency(Hz): 0.5, Period(s): 2 ( 24 sec )
|
||
|
|
Perform calibration correction ( 24 sec )
|
||
|
|
Calculate rotated fields ( 24 sec )
|
||
|
|
Calculate response functions by ordinary remote reference ( 24 sec )
|
||
|
|
Calculate response functions for output variable 0 ( 24 sec )
|
||
|
|
Calculate response functions by the ordinary least square method ( 24 sec )
|
||
|
|
Parametric error estimation is performed ( 24 sec )
|
||
|
|
Calculate response functions for output variable 1 ( 24 sec )
|
||
|
|
Calculate response functions by the ordinary least square method ( 24 sec )
|
||
|
|
Parametric error estimation is performed ( 24 sec )
|
||
|
|
===============================================================================
|
||
|
|
Perform analysis for segment length : 128 ( 24 sec )
|
||
|
|
Convert time-series data to frequency-domain ( 24 sec )
|
||
|
|
Total number of segments : 43199 ( 24 sec )
|
||
|
|
-------------------------------------------------------------------------------
|
||
|
|
Now Frequency(Hz): 0.75, Period(s): 1.33333 ( 25 sec )
|
||
|
|
Perform calibration correction ( 25 sec )
|
||
|
|
Calculate rotated fields ( 25 sec )
|
||
|
|
Calculate response functions by ordinary remote reference ( 25 sec )
|
||
|
|
Calculate response functions for output variable 0 ( 25 sec )
|
||
|
|
Calculate response functions by the ordinary least square method ( 25 sec )
|
||
|
|
Parametric error estimation is performed ( 25 sec )
|
||
|
|
Calculate response functions for output variable 1 ( 25 sec )
|
||
|
|
Calculate response functions by the ordinary least square method ( 25 sec )
|
||
|
|
Parametric error estimation is performed ( 25 sec )
|
||
|
|
-------------------------------------------------------------------------------
|
||
|
|
Now Frequency(Hz): 1, Period(s): 1 ( 25 sec )
|
||
|
|
Perform calibration correction ( 25 sec )
|
||
|
|
Calculate rotated fields ( 25 sec )
|
||
|
|
Calculate response functions by ordinary remote reference ( 25 sec )
|
||
|
|
Calculate response functions for output variable 0 ( 25 sec )
|
||
|
|
Calculate response functions by the ordinary least square method ( 25 sec )
|
||
|
|
Parametric error estimation is performed ( 25 sec )
|
||
|
|
Calculate response functions for output variable 1 ( 25 sec )
|
||
|
|
Calculate response functions by the ordinary least square method ( 25 sec )
|
||
|
|
Parametric error estimation is performed ( 25 sec )
|
||
|
|
End TRACMT ( 25 sec )
|