wmtsa

This repository contains Python scripts to compute wavelet analyses as explain in the book:

Donald Percival and Andrew Walden. Wavelet Methods for Time Series Analysis. Cambridge Series in Statistical and Probabilistic Mathematics

To see the repository with Binder, please click below:

The notebooks contains examples to reproduce some of the figures from the book:

Chapter 4: Discrete Wavelet Transform

Please click here to see examples from chapter 4:

Please click here to see examples from chapter 5:

Please click here to see examples from chapter 6 - Discrete Wavelet Packet Transform:

Please click here to see examples from chapter 6 - Maximal Overlap Discrete Wavelet Packet Transform:

Please click here to see examples from chapter 6 - Best Basis Algorithm:

Name		Name	Last commit message	Last commit date
Latest commit History 19 Commits
data		data
figures		figures
notebooks		notebooks
scalingcoeff		scalingcoeff
src		src
tutorial		tutorial
.gitignore		.gitignore
README.md		README.md
environment.yml		environment.yml