synergetics/spectrum

Name: spectrum

Owner: synergetics

Description: Higher Order Spectrum Estimation toolkit

Created: 2015-03-13 20:09:53.0

Updated: 2018-01-09 01:52:08.0

Pushed: 2016-03-29 20:40:34.0

Homepage: null

Size: 763

Language: Python

GitHub Committers

User	Most Recent Commit	# Commits

Other Committers

User	Email	Most Recent Commit	# Commits

README

Higher Order Spectrum Estimation toolkit

Contents

Bicoherence

 spectrum import bicoherence

herence(y, nfft=None, wind=None, nsamp=None, overlap=None)

Cross Bicoherence

 spectrum import bicoherencex

herencex(w, x, y, nfft=None, wind=None, nsamp=None, overlap=None)

Bispectrum Direct (using fft)

 spectrum import bispectrumd

ectrumd(y, nfft=None, wind=None, nsamp=None, overlap=None)

Bispectrum Indirect

 spectrum import bispectrumi

ectrumi(y, nlag=None, nsamp=None, overlap=None, flag='biased', nfft=None, wind=None)

Cross Bispectrum (Direct)

 spectrum import bispectrumdx

ectrumdx(x, y, z, nfft=None, wind=None, nsamp=None, overlap=None)

2nd, 3rd and 4th order cumulants

 spectrum import cumest

r = 2 # 2nd order
st(y, norder=order, maxlag=0 ,nsamp=None, overlap=0, flag='biased' ,k1=0, k2=0)

2nd, 3rd and 4th order cross-cumulants

 spectrum import cum2x, cum3x, cum4x

x(x, y, maxlag=0, nsamp=0, overlap=0, flag='biased')
x(x, y, z, maxlag=0, nsamp=0, overlap=0, flag='biased', k1=0)
x(w, x, y, z, maxlag=0, nsamp=0, overlap=0, flag='biased', k1=0, k2=0)

More coming soon

Taken from the Higher Order Spectral Analysis toolkit for MATLAB