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Intrinsic Time-Scale Decomposition

License: Other

Python 0.46% Jupyter Notebook 99.54%
decomposition knot numba numpy peak-detection python3 signal-processing trend-analysis emperical-analysis

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pyitd's Issues

itd function returns "out of time" error

I am using the following piece of code to try itd method but end up with 'out of time' error. The data looks ok with some trends. Appreciate if you could advise a solution. Thanks!
`
inputData2 = [170.825,171.293,168.477,168.117,170.145,170.675,170.765,175.049,176.100,179.441,178.031,179.526,179.962,180.870,184.388,184.747,182.109,181.969,181.240,180.045,179.321,183.274,184.428,183.728,184.778,185.228,186.217,186.986,189.306,186.577,188.546,188.596,188.616,188.831,190.214,188.191,186.442,189.046,189.086,190.282,188.346,188.686,184.638,182.000,181.879,182.429,182.469,184.488,183.249,184.313,186.986,187.886,186.716,187.706,187.396,187.626,180.950,179.161,179.261,179.351,178.724,178.406,178.391,174.133,171.755,172.928,172.186,170.965,170.755,170.245,172.635,171.825,172.185,172.635,172.140,172.315,171.715,170.065,171.425,173.396,172.495,171.775,171.905,172.125,171.985,176.513,176.542,177.152,177.612,177.209,179.032,176.897,170.535,168.079,166.620,165.139,164.600,162.510,161.181,158.462,158.342,158.802,159.891,158.942,157.923,156.993,154.454,154.439,153.215,152.896,153.305,154.634,152.986,150.187,151.536,150.357,150.239,150.232,150.856,139.045,135.070,133.711,133.766,134.277,137.779,139.293,137.462,139.891,139.872,137.924,136.461,136.774,136.394,135.675,136.449,137.254,135.948,134.826,135.075,134.576,134.426,134.336,135.895,135.335,136.055,137.585,137.105,136.989,138.655,138.755,137.705,138.225,138.245,139.864,143.223,143.443,144.023,144.133,144.093,143.483,143.833,144.533,143.353,142.409,143.320,144.083,143.663,145.013,137.075,134.796,134.396,134.091,134.196,133.133,131.276,130.767,131.196,130.996,131.706,130.620,130.048,131.246,131.761,128.097,129.537,130.367,130.597,129.617,129.257,127.307,128.946,129.457,129.817,129.327,130.875,131.956,132.781,133.996,131.766,132.876,132.621,132.846,133.786,132.476,134.056,134.641,133.089,130.687,131.827,131.726,133.321,133.877,135.025,135.275,136.651,139.139,132.576,127.597,125.748,125.948,126.269,125.958,125.198,125.578,123.346,124.458,123.988,123.878,123.538,122.799,125.128,125.738,124.349,124.131,123.338,122.474,123.918,122.249,125.968,126.758,124.718,123.528,123.268,124.158,124.098,125.848,126.318,127.277,125.508,125.818,126.638,127.327,122.394,121.630,122.229,121.152,120.009,120.138,122.169,123.533,125.747,124.798,124.088,122.819,122.329,121.359,122.519,124.598,124.317,124.448,125.388,126.253,125.088,129.337,132.086,132.036,130.322,130.567,131.516,131.636,127.988,126.668,128.793,130.142,130.507,131.966,132.056,134.826,134.426,132.506,132.756,133.191,131.628,131.266,124.808,124.209,122.949,122.534,121.898,121.239,120.729,116.430,114.646,116.563,115.151,117.470,116.890,116.670,113.701,113.441,116.820,117.580,117.390,114.981,115.830,115.510,113.621,115.870,115.569,115.091,115.278,114.971,110.927,113.561,118.840,118.120,119.429,119.777,119.569,115.750,114.311,113.321,113.081,113.874,113.980,112.241,117.410,116.130,118.659,118.510,118.950,118.900,118.850,120.879,118.750,117.990,118.540,120.119,118.810,119.639,118.828,121.019,121.619,120.059,119.919,119.909,120.479,125.585,127.388,126.080,123.818,122.574,121.967,121.909,122.199,120.789,122.673,122.789,124.445,124.059,124.628,122.619,123.308,125.053,125.008,125.238,126.068,125.958,130.576,130.637,131.856,132.026,131.506,132.286,132.576,130.657,131.866,132.946,130.897,130.077,129.987,128.927,131.896,134.196,132.246,132.486,132.811,132.270,131.726,134.301,134.446,136.105,137.315,136.885,137.125,138.305,135.120,133.636,135.085,134.811,135.795,135.515,134.935,137.635,136.065,137.595,136.845,136.338,136.850,135.395,140.031,139.504,138.440,137.785,138.225,136.795,132.156,130.187,136.725,134.975,135.725,134.211,135.195,134.176,139.617,140.874,138.075,138.305,137.275,140.109,141.524,140.564,141.444,140.721,141.192,141.144,142.639,142.973,146.393,146.223,147.492,147.332,144.476,144.473,145.983,140.374,139.194,139.424,139.659,138.125,137.995,137.725,149.732,150.162,152.892,152.391,154.809,155.220,157.460,158.529,160.349,160.149,160.659,161.919,163.538,163.228,160.754,162.998,163.733,163.598,164.548,164.908,162.908,168.907,166.427,167.867,168.827,165.538,166.887,166.617,161.269,159.219,161.269,161.745,160.899,160.889,159.059,159.109,159.679,159.329,159.329,157.710,156.730,156.730,156.290,153.331,153.601,151.541,152.191,152.931,154.051,153.051,153.071,153.432,152.051,153.161,153.051,153.131,153.777,157.852,158.489,157.575,158.769,158.879,160.339,163.358,164.258,162.628,161.529,162.893,164.448,165.148,164.091,163.518,163.658,162.798,162.658,163.003,160.408,161.015,160.157,159.579,158.999,158.230,157.615,157.728,156.970,156.870,156.700,156.591,156.350,156.870,157.540,158.738,157.580,161.720,164.560,169.230,171.624,170.720,170.570,171.092,171.980,172.170,171.350,165.450,165.855,166.790,166.050,166.820,168.160,168.760,168.140,168.638,167.880,166.830,166.185,165.760,166.100,161.990,160.220,160.550,160.620,160.840,159.090,159.870,158.700,160.420,159.650,159.965,160.360,160.723,161.200,163.000,167.490,167.882,168.350,169.069,170.240,171.690,172.000,174.940,175.060,173.942,173.040,173.339,170.010,171.030,170.870,171.644,171.570,172.005,173.370,175.350,186.170,182.410,180.644,178.470,179.520,179.696,180.720,180.980,180.519,180.310,179.008,181.160,175.660,176.740,168.810,168.083,168.403,167.910,168.030,170.570,169.520,168.950,165.900,165.250,164.880,165.649,166.350,165.710,162.635,162.940,162.088,164.100,163.010,162.510,162.540,162.670,162.095,161.295,161.034,161.130,161.360,160.850,163.335,165.280,164.640,165.260,165.460,165.600,165.010,157.210,153.880,150.830,150.630,149.973,151.450,153.390,149.870,150.725,151.520,151.630,151.044,151.560,152.060,145.730,145.857,144.170,143.270,142.585,141.410,141.210,140.946,139.451,140.070,141.540,141.330,140.430,140.360,144.645,145.400,146.350,146.430,145.825,145.230,146.030,144.320,143.965,144.652,144.970,144.170,144.050,146.140,145.427,143.370,141.390,141.977,142.620,143.110,143.150,145.380,144.010,146.690,146.490,147.685,147.695,147.490,143.235,141.920,141.990,142.568,143.590,143.830,142.650,140.940,145.390,147.030,146.620,147.960,149.431,148.590,157.140,158.933,159.846,160.061,158.443,158.110,156.280,157.150,157.690,157.095,156.740,157.330,158.571,159.090,157.147,156.235,157.570,158.070,158.440,158.671,160.010,156.475,159.320,160.960,164.400,165.840,165.530,165.110,164.720,167.670,165.660,166.620,167.650,167.845,168.990,173.490,174.770,175.261,175.600,176.830,176.690,177.020,177.310,175.130,174.625,174.030,174.405,174.950,173.770,170.544,169.430,168.170,168.600,169.451,169.613,167.650,169.735,169.190,173.244,174.770,176.340,177.760,178.390,185.015,188.070,189.775,189.840,191.845,190.225,191.930,191.390,192.290,192.560,190.475,191.220,192.170,192.650,188.675,188.020,189.010,188.933,191.125,192.688,193.230,195.880,193.540,194.510,196.639,196.640,197.582,198.020,198.940,199.970,200.792,203.510,205.380,205.008,203.650,199.246,196.050,196.389,194.455,194.180,194.080,191.620,190.575,196.160,194.030,195.143,194.935,194.870,195.390,200.220,199.390,200.660,201.210,201.260,207.320,209.430,212.475,213.510,212.470,216.840,219.393,213.220,217.090,215.370,214.931,214.620,213.790,212.360,211.190,211.000,212.630,212.430,213.410,212.150,211.535,212.479,210.890,213.161,213.805,216.625,220.680,214.370,219.188,221.730,226.235,222.090,223.620,225.015,223.900,222.233,222.050,227.150,229.950,229.274,226.300,226.420,224.360,223.370,216.370,213.310,210.200,211.310,210.371,211.325,212.650,216.130,216.360,219.021,218.855,218.971,218.116,217.880,225.800,223.785,224.680,226.274,228.388,229.110,229.710,222.965,222.590,225.620,225.904,226.450,226.490,227.640,222.180,222.820,223.175,224.050,225.146,224.240,220.020,215.210,211.640,211.720,210.810,211.890,214.930,213.880,211.860,210.730,208.950,210.409,208.930,207.500,206.550,208.250,206.160,207.685,209.160,208.824,206.660,207.540,237.150,235.463,232.695,234.187,236.760,236.571,236.640,231.040,230.431,233.680,231.430,232.270,233.707,232.860,237.950,235.491,236.390,236.530,237.880,236.250,235.010,234.756,234.248,235.470,237.050,237.760,235.780,232.160,229.960,227.215,227.240,227.630,227.200,226.890,226.980,227.020,227.453,226.980,228.310,230.847,232.100,233.140,233.260,232.619,232.580,235.360,236.230,238.125,238.900,238.210,241.930,240.310,238.080,236.921,236.920,235.540,237.420,236.375,239.578,240.200,235.390,233.540,232.917,237.470,238.295,239.954,239.040,238.220,239.732,241.810,243.650,241.357,241.090,239.805,237.112,236.817,234.360,228.890,233.440,232.638,230.750,228.730,230.100,229.650,227.910,229.090,231.690,229.075,230.165,231.745,229.660,238.020,239.510,241.610,241.430,238.690,237.760,240.620,235.660,235.420,236.219,235.320,238.310,241.860,242.300,243.080,246.500,251.670,252.525,251.750,252.692,255.410,261.247,259.745,258.500,257.745,259.520,258.830,257.171,252.740,256.260,255.400,257.730,259.940,259.000,259.000,262.945,259.000,255.690,259.090,260.914,262.630,261.990,268.870,269.100,271.042,269.390,270.650,272.098,264.680,273.220,273.010,273.275,273.010,270.520,269.690,271.910,268.175,265.254,266.840,265.319,264.980,266.315,267.790,268.360,267.140,264.110,265.370,265.950,266.670,265.310,259.280,260.212,262.599,261.960,261.781,261.985,264.100,270.280,267.060,269.230,267.780,268.366,269.380,269.840,272.850,274.310,273.670,273.200,272.310,273.505,273.830,275.140,274.440,275.724,277.200,277.320,276.310,277.770,275.899,276.170,275.165,273.829,274.950,277.180,279.657,276.508,277.511,276.735,276.939,276.911,274.745,274.530,267.690,264.610,266.680,265.160,266.280,267.505,268.810,266.350,267.550,270.100,268.150,269.820,269.710,270.370,268.448,271.650,273.790,274.960,274.540,275.705,275.790,274.120,271.764,272.720,273.120,274.000,273.510,271.690,267.190,266.110,268.880,269.425,268.500,266.475,264.950,265.420,266.550,267.430,267.270,268.320,267.452,264.630,268.305,265.740,265.200,263.870,264.920,266.721,267.580,267.265,267.753,265.860,265.910,265.944,267.750,270.020,277.900,278.718,278.130,278.400,276.900,274.391,276.670,275.674,276.835,277.150,278.080,278.350,278.312,279.310,278.740,277.260,276.565,276.730,276.550,273.970,271.040,267.600,269.460,270.620,270.490,270.485,269.950,271.190,272.240,268.760,267.212,269.270,269.836,270.810,270.420,268.060,266.605,264.950,264.545,264.345,263.715,262.410,270.149,270.360,272.540,271.430,271.960,269.605,269.560,266.895,268.026,268.090,269.955,271.120,271.382,272.260,271.970,273.140,274.788,275.574,275.360,275.760,277.490,282.370,286.320,286.350,287.730,289.241,289.342,289.100,285.120,281.960,282.410,282.670,283.950,283.570,282.100,276.770,279.034,278.850,279.290,280.240,281.785,278.020,277.300,275.495,276.630,277.120,276.470,274.680,275.620,280.874,283.890,283.730,284.136,286.060,287.210,286.800,284.770,286.545,289.250,289.727,289.870,291.835,291.510,287.100,285.950,284.960,286.323,286.830,287.030,285.705,288.850,287.840,289.240,288.090,286.070,288.374,288.850,285.441,284.080,286.510,286.157,285.290,286.084,285.780,285.760,282.930,283.480,281.590,281.500,282.040,283.400,282.590,283.622,287.329,288.110,288.205,288.725,289.530,292.795,293.060,296.115,298.159,295.570,295.270,292.130,295.410,297.780,297.890,298.870,300.585,300.054,301.780,307.970,311.340,316.300,314.920,312.730,316.710,316.780,312.479,309.865,312.632,313.322,312.250,312.979,312.640,312.800,313.660,312.508,312.400,313.338,313.320,311.760,311.825,309.940,308.705,307.780,307.840,307.293,306.880,301.720,298.640,299.745,300.000,300.630,300.425,305.380,379.490,381.755,385.300,387.179,384.892,382.030,379.815,380.010,385.519,386.495,388.215,388.880,388.530,389.460,409.590,408.560,412.115,404.715,400.095,402.697,401.110,396.110,391.761,386.870,381.925,387.728,384.670,378.380,391.490,390.725,394.200,396.275,398.655,398.945,397.700,392.810,398.230,396.140,393.707,393.447,392.430,393.270,389.340,392.325,391.630,392.288,389.649,390.600,391.710]

inputArray = np.asarray(inputData2)

itd=ITD()

rotations = itd.itd(inputArray)
`

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