Module wavelet.wavelets.sym19
Symlet 19 wavelet
Expand source code
""" Symlet 19 wavelet """
class Symlet19:
"""
Properties
----------
near symmetric, orthogonal, biorthogonal
All values are from http://wavelets.pybytes.com/wavelet/sym19/
"""
__name__ = "Symlet Wavelet 19"
__motherWaveletLength__ = 38 # length of the mother wavelet
__transformWaveletLength__ = 2 # minimum wavelength of input signal
# decomposition filter
# low-pass
decompositionLowFilter = [
5.487732768215838e-07,
-6.463651303345963e-07,
-1.1880518269823984e-05,
8.873312173729286e-06,
0.0001155392333357879,
-4.612039600210587e-05,
-0.000635764515004334,
0.00015915804768084938,
0.0021214250281823303,
-0.0011607032572062486,
-0.005122205002583014,
0.007968438320613306,
0.01579743929567463,
-0.02265199337824595,
-0.046635983534938946,
0.0070155738571741596,
0.008954591173043624,
-0.06752505804029409,
0.10902582508127781,
0.578144945338605,
0.7195555257163943,
0.2582661692372836,
-0.17659686625203097,
-0.11624173010739675,
0.09363084341589714,
0.08407267627924504,
-0.016908234861345205,
-0.02770989693131125,
0.004319351874894969,
0.008262236955528255,
-0.0006179223277983108,
-0.0017049602611649971,
0.00012930767650701415,
0.0002762187768573407,
-1.6821387029373716e-05,
-2.8151138661550245e-05,
2.0623170632395688e-06,
1.7509367995348687e-06,
]
# high-pass
decompositionHighFilter = [
-1.7509367995348687e-06,
2.0623170632395688e-06,
2.8151138661550245e-05,
-1.6821387029373716e-05,
-0.0002762187768573407,
0.00012930767650701415,
0.0017049602611649971,
-0.0006179223277983108,
-0.008262236955528255,
0.004319351874894969,
0.02770989693131125,
-0.016908234861345205,
-0.08407267627924504,
0.09363084341589714,
0.11624173010739675,
-0.17659686625203097,
-0.2582661692372836,
0.7195555257163943,
-0.578144945338605,
0.10902582508127781,
0.06752505804029409,
0.008954591173043624,
-0.0070155738571741596,
-0.046635983534938946,
0.02265199337824595,
0.01579743929567463,
-0.007968438320613306,
-0.005122205002583014,
0.0011607032572062486,
0.0021214250281823303,
-0.00015915804768084938,
-0.000635764515004334,
4.612039600210587e-05,
0.0001155392333357879,
-8.873312173729286e-06,
-1.1880518269823984e-05,
6.463651303345963e-07,
5.487732768215838e-07,
]
# reconstruction filters
# low pass
reconstructionLowFilter = [
1.7509367995348687e-06,
2.0623170632395688e-06,
-2.8151138661550245e-05,
-1.6821387029373716e-05,
0.0002762187768573407,
0.00012930767650701415,
-0.0017049602611649971,
-0.0006179223277983108,
0.008262236955528255,
0.004319351874894969,
-0.02770989693131125,
-0.016908234861345205,
0.08407267627924504,
0.09363084341589714,
-0.11624173010739675,
-0.17659686625203097,
0.2582661692372836,
0.7195555257163943,
0.578144945338605,
0.10902582508127781,
-0.06752505804029409,
0.008954591173043624,
0.0070155738571741596,
-0.046635983534938946,
-0.02265199337824595,
0.01579743929567463,
0.007968438320613306,
-0.005122205002583014,
-0.0011607032572062486,
0.0021214250281823303,
0.00015915804768084938,
-0.000635764515004334,
-4.612039600210587e-05,
0.0001155392333357879,
8.873312173729286e-06,
-1.1880518269823984e-05,
-6.463651303345963e-07,
5.487732768215838e-07,
]
# high-pass
reconstructionHighFilter = [
5.487732768215838e-07,
6.463651303345963e-07,
-1.1880518269823984e-05,
-8.873312173729286e-06,
0.0001155392333357879,
4.612039600210587e-05,
-0.000635764515004334,
-0.00015915804768084938,
0.0021214250281823303,
0.0011607032572062486,
-0.005122205002583014,
-0.007968438320613306,
0.01579743929567463,
0.02265199337824595,
-0.046635983534938946,
-0.0070155738571741596,
0.008954591173043624,
0.06752505804029409,
0.10902582508127781,
-0.578144945338605,
0.7195555257163943,
-0.2582661692372836,
-0.17659686625203097,
0.11624173010739675,
0.09363084341589714,
-0.08407267627924504,
-0.016908234861345205,
0.02770989693131125,
0.004319351874894969,
-0.008262236955528255,
-0.0006179223277983108,
0.0017049602611649971,
0.00012930767650701415,
-0.0002762187768573407,
-1.6821387029373716e-05,
2.8151138661550245e-05,
2.0623170632395688e-06,
-1.7509367995348687e-06,
]Classes
class Symlet19-
Properties
near symmetric, orthogonal, biorthogonal
All values are from http://wavelets.pybytes.com/wavelet/sym19/
Expand source code
class Symlet19: """ Properties ---------- near symmetric, orthogonal, biorthogonal All values are from http://wavelets.pybytes.com/wavelet/sym19/ """ __name__ = "Symlet Wavelet 19" __motherWaveletLength__ = 38 # length of the mother wavelet __transformWaveletLength__ = 2 # minimum wavelength of input signal # decomposition filter # low-pass decompositionLowFilter = [ 5.487732768215838e-07, -6.463651303345963e-07, -1.1880518269823984e-05, 8.873312173729286e-06, 0.0001155392333357879, -4.612039600210587e-05, -0.000635764515004334, 0.00015915804768084938, 0.0021214250281823303, -0.0011607032572062486, -0.005122205002583014, 0.007968438320613306, 0.01579743929567463, -0.02265199337824595, -0.046635983534938946, 0.0070155738571741596, 0.008954591173043624, -0.06752505804029409, 0.10902582508127781, 0.578144945338605, 0.7195555257163943, 0.2582661692372836, -0.17659686625203097, -0.11624173010739675, 0.09363084341589714, 0.08407267627924504, -0.016908234861345205, -0.02770989693131125, 0.004319351874894969, 0.008262236955528255, -0.0006179223277983108, -0.0017049602611649971, 0.00012930767650701415, 0.0002762187768573407, -1.6821387029373716e-05, -2.8151138661550245e-05, 2.0623170632395688e-06, 1.7509367995348687e-06, ] # high-pass decompositionHighFilter = [ -1.7509367995348687e-06, 2.0623170632395688e-06, 2.8151138661550245e-05, -1.6821387029373716e-05, -0.0002762187768573407, 0.00012930767650701415, 0.0017049602611649971, -0.0006179223277983108, -0.008262236955528255, 0.004319351874894969, 0.02770989693131125, -0.016908234861345205, -0.08407267627924504, 0.09363084341589714, 0.11624173010739675, -0.17659686625203097, -0.2582661692372836, 0.7195555257163943, -0.578144945338605, 0.10902582508127781, 0.06752505804029409, 0.008954591173043624, -0.0070155738571741596, -0.046635983534938946, 0.02265199337824595, 0.01579743929567463, -0.007968438320613306, -0.005122205002583014, 0.0011607032572062486, 0.0021214250281823303, -0.00015915804768084938, -0.000635764515004334, 4.612039600210587e-05, 0.0001155392333357879, -8.873312173729286e-06, -1.1880518269823984e-05, 6.463651303345963e-07, 5.487732768215838e-07, ] # reconstruction filters # low pass reconstructionLowFilter = [ 1.7509367995348687e-06, 2.0623170632395688e-06, -2.8151138661550245e-05, -1.6821387029373716e-05, 0.0002762187768573407, 0.00012930767650701415, -0.0017049602611649971, -0.0006179223277983108, 0.008262236955528255, 0.004319351874894969, -0.02770989693131125, -0.016908234861345205, 0.08407267627924504, 0.09363084341589714, -0.11624173010739675, -0.17659686625203097, 0.2582661692372836, 0.7195555257163943, 0.578144945338605, 0.10902582508127781, -0.06752505804029409, 0.008954591173043624, 0.0070155738571741596, -0.046635983534938946, -0.02265199337824595, 0.01579743929567463, 0.007968438320613306, -0.005122205002583014, -0.0011607032572062486, 0.0021214250281823303, 0.00015915804768084938, -0.000635764515004334, -4.612039600210587e-05, 0.0001155392333357879, 8.873312173729286e-06, -1.1880518269823984e-05, -6.463651303345963e-07, 5.487732768215838e-07, ] # high-pass reconstructionHighFilter = [ 5.487732768215838e-07, 6.463651303345963e-07, -1.1880518269823984e-05, -8.873312173729286e-06, 0.0001155392333357879, 4.612039600210587e-05, -0.000635764515004334, -0.00015915804768084938, 0.0021214250281823303, 0.0011607032572062486, -0.005122205002583014, -0.007968438320613306, 0.01579743929567463, 0.02265199337824595, -0.046635983534938946, -0.0070155738571741596, 0.008954591173043624, 0.06752505804029409, 0.10902582508127781, -0.578144945338605, 0.7195555257163943, -0.2582661692372836, -0.17659686625203097, 0.11624173010739675, 0.09363084341589714, -0.08407267627924504, -0.016908234861345205, 0.02770989693131125, 0.004319351874894969, -0.008262236955528255, -0.0006179223277983108, 0.0017049602611649971, 0.00012930767650701415, -0.0002762187768573407, -1.6821387029373716e-05, 2.8151138661550245e-05, 2.0623170632395688e-06, -1.7509367995348687e-06, ]Class variables
var decompositionHighFiltervar decompositionLowFiltervar reconstructionHighFiltervar reconstructionLowFilter