Methods Implemented

DWT/IDWT A decimated Discrete Wavelet Transform implementation using implicit signal extension and up/downsampling so it is a fast implementation. A FFT based implementation is optional but will not be usually needed. Both periodic and symmetric options are available.

SWT/ISWT Stationary Wavelet Transform. It works only for signal lengths that are multiples of 2^J where J is the number of decomposition levels. For signals of other lengths see MODWT implementation.

MODWT/IMODWT Maximal Overlap Discrete Wavelet Transform is another undecimated transform. It is implemented for signals of any length but only orthogonal wavelets (Daubechies, Symlets and Coiflets) can be deployed. This implementation is based on the method laid out in "Wavelet Methods For Wavelet Analysis" by Donald Percival and Andrew Walden.

Documentation Available at - https://github.com/rafat/wavelib/wiki

Project Activity

See All Activity >

Follow wavelib

wavelib Web Site

You Might Also Like
Top-Rated Free CRM Software Icon
Top-Rated Free CRM Software

216,000+ customers in over 135 countries grow their businesses with HubSpot

HubSpot is an AI-powered customer platform with all the software, integrations, and resources you need to connect your marketing, sales, and customer service. HubSpot's connected platform enables you to grow your business faster by focusing on what matters most: your customers.
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of wavelib!

Additional Project Details

Registered

2014-12-15