Open anissa111 opened 1 year ago
Recommended guide for wavelet analysis: A Practical Guide to Wavelet Analysis by Christopher Torrence and Gilbert P. Compo (1998)
Additional resources:
Calculates the wavelet transform of a time series and significance levels
Inputs:
Returns: Three-dimensional array (wave) dimensioned 2 by jtot by N
Wave attributes:
Possible Python implementation: PyWavlets
Pywavlet Relevant Wavelet families:
Additional Wavelet Types:
wavelets and pycwt are both more direct Python implementation of wavelets from Torrence and Compo that includes wavelets for Morlet, Paul, DOG
(as well as Ricker, Marr, Mexican Hat
)
While both are popular repositories with what appears to be clean implementation, both have either few or no releases, so would need to be re implemented to be compatible with Python 3.9-3.12+
pycwt
appears to be the strongest replacement. Module based on C. Torrence and G. P. Compo paper
pycwt.cwt(signal, dt, dj=0.08333333333333333, s0=-1, J=-1, wavelet=u'morlet', freqs=None)
: Continuous wavelet transform of the signal at specified scales.
Input:
Returns:
Functionality includes:
Research existing NCL wavelet functionality, investigate existing python solutions, and make initial recommendations about reimplementation, wrapping, or writing equivalent workflow demonstration material
Relevant material: