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PyTorch-Wavelet-Toolbox documentation - Home

Getting Started

  • Introduction to discrete wavelet transforms
  • Introduction to boundary wavelet filters
  • Common wavelets and their properties
  • Introduction to continuous wavelet transforms
  • Bibliography
  • Wavelet transforms by example

Public API

  • The ptwt package – API reference
    • Fast Wavelet Transform (FWT) using padded convolutions
    • Inverse Fast Wavelet Transform (iFWT) using padded convolutions
    • Sparse-matrix based Fast Wavelet Transform (FWT)
    • Sparse-matrix based Inverse Fast Wavelet Transform (iFWT)
    • Wavelet Packet Transform (WPT)
    • Stationary Wavelet Transform (SWT)
    • Continuous Wavelet Transform (CWT)
    • Wavelet transform return types
    • Boundary handling modes
    • Learnable adaptive wavelets
    • Sparse-matrix backend functions
    • Other functions

Community

  • Citation
  • Contributing to the Toolbox
  • Release Notes

Python Module Index

p
 
p
- ptwt
    ptwt.sparse_math
    ptwt.version
    ptwt.wavelets_learnable

By Moritz Wolter, Felix Blanke, Jochen Garcke and Charles Tapley Hoyt

© Copyright 2025.