Module wavelet.wavelets.sym4
Symlet 4 wavelet
Expand source code
""" Symlet 4 wavelet """
class Symlet4:
"""
Properties
----------
near symmetric, orthogonal, biorthogonal
All values are from http://wavelets.pybytes.com/wavelet/sym4/
"""
__name__ = "Symlet Wavelet 4"
__motherWaveletLength__ = 8 # length of the mother wavelet
__transformWaveletLength__ = 2 # minimum wavelength of input signal
# decomposition filter
# low-pass
decompositionLowFilter = [
-0.07576571478927333,
-0.02963552764599851,
0.49761866763201545,
0.8037387518059161,
0.29785779560527736,
-0.09921954357684722,
-0.012603967262037833,
0.0322231006040427,
]
# high-pass
decompositionHighFilter = [
-0.0322231006040427,
-0.012603967262037833,
0.09921954357684722,
0.29785779560527736,
-0.8037387518059161,
0.49761866763201545,
0.02963552764599851,
-0.07576571478927333,
]
# reconstruction filters
# low pass
reconstructionLowFilter = [
0.0322231006040427,
-0.012603967262037833,
-0.09921954357684722,
0.29785779560527736,
0.8037387518059161,
0.49761866763201545,
-0.02963552764599851,
-0.07576571478927333,
]
# high-pass
reconstructionHighFilter = [
-0.07576571478927333,
0.02963552764599851,
0.49761866763201545,
-0.8037387518059161,
0.29785779560527736,
0.09921954357684722,
-0.012603967262037833,
-0.0322231006040427,
]
Classes
class Symlet4
-
Properties
near symmetric, orthogonal, biorthogonal
All values are from http://wavelets.pybytes.com/wavelet/sym4/
Expand source code
class Symlet4: """ Properties ---------- near symmetric, orthogonal, biorthogonal All values are from http://wavelets.pybytes.com/wavelet/sym4/ """ __name__ = "Symlet Wavelet 4" __motherWaveletLength__ = 8 # length of the mother wavelet __transformWaveletLength__ = 2 # minimum wavelength of input signal # decomposition filter # low-pass decompositionLowFilter = [ -0.07576571478927333, -0.02963552764599851, 0.49761866763201545, 0.8037387518059161, 0.29785779560527736, -0.09921954357684722, -0.012603967262037833, 0.0322231006040427, ] # high-pass decompositionHighFilter = [ -0.0322231006040427, -0.012603967262037833, 0.09921954357684722, 0.29785779560527736, -0.8037387518059161, 0.49761866763201545, 0.02963552764599851, -0.07576571478927333, ] # reconstruction filters # low pass reconstructionLowFilter = [ 0.0322231006040427, -0.012603967262037833, -0.09921954357684722, 0.29785779560527736, 0.8037387518059161, 0.49761866763201545, -0.02963552764599851, -0.07576571478927333, ] # high-pass reconstructionHighFilter = [ -0.07576571478927333, 0.02963552764599851, 0.49761866763201545, -0.8037387518059161, 0.29785779560527736, 0.09921954357684722, -0.012603967262037833, -0.0322231006040427, ]
Class variables
var decompositionHighFilter
var decompositionLowFilter
var reconstructionHighFilter
var reconstructionLowFilter