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  4. ptwt - The PyTorch Wavelet Toolbox
 
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2024
Journal Article
Title

ptwt - The PyTorch Wavelet Toolbox

Title Supplement
Version 2024
Abstract
The fast wavelet transform is an important workhorse in signal processing. Wavelets are local in the spatial- or temporal- and the frequency-domain. This property enables frequency domain analysis while preserving some spatiotemporal information. Until recently, wavelets rarely appeared in the machine learning literature. We provide the PyTorch Wavelet Toolbox to make wavelet methods more accessible to the deep learning community. Our PyTorch Wavelet Toolbox is well documented. A pip package is installable with pip install ptwt.
Author(s)
Wolter, Moritz
Universität Bonn
Blanke, Felix
Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI  
Garcke, Jochen  
Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI  
Hoyt, Charles Tapley
Northeastern University
Journal
Journal of Machine Learning Research  
Open Access
File(s)
Download (224.81 KB)
Rights
CC BY 4.0: Creative Commons Attribution
DOI
10.24406/publica-5910
Language
English
Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI  
Keyword(s)
  • PyTorch

  • wavelet

  • wavelet-analysis

  • wavelet-packets

  • wavelet-transform

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