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C Implementation of Discrete Wavelet Transform (DWT,SWT and MODWT), Continuous Wavelet transform (CWT) and Discrete Packet Transform ( Full Tree Decomposition and Best Basis DWPT).
Git Repository
git clone https://github.com/rafat/wavelib
Or Download Zip File From Here
https://github.com/rafat/wavelib/archive/master.zip
Discrete Wavelet Transform 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.
2D Wavelet Transform Methods
Check the wt2 object page to learn how the memory is managed.
DWT2/IDWT2 A decimated 2D Discrete Wavelet Transform implementation using implicit signal extension and up/downsampling so it is a fast implementation.
SWT2/ISWT2 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 MODWT2 implementation.
MODWT2/IMODWT2 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.
Discrete Wavelet Packet Transform Methods Implemented
WTREE A Fully Decimated Wavelet Tree Decomposition. This is a highly redundant transform and retains all coefficients at each node. This is not recommended for compression and denoising applications.
DWPT/IDWPT Is a derivative of WTREE method which retains coefficients based on entropy methods. This is a non-redundant transform and output length is of the same order as the input.
Continuous Wavelet Transform Method Implemented
CWT/ICWT C translation ( with some modifications) of Continuous Wavelet Transform Software provided by C. Torrence and G. Compo, and is available at URL: http://atoc.colorado.edu/research/wavelets/'. A generalized Inverse Transform with approximate reconstruction is also added.
Online Demo of Wavelib Using Emscripten
| Usage | How to integrate wavelib in your code |
|---|---|
| wave object | Wavelet Object, Parameters and Functions |
| wt object | Discrete Wavelet Transform Object, Parameters and Functions |
| cwt object | Continuous Wavelet Transform Object, Parameters and Functions |
| wtree object | Wavelet Tree Decomposition and Functions |
| wpt object | Wavelet Packet Transform Object, Parameters and Functions |
| wt2 object | 2D Discrete Wavelet Transform Object, Parameters and Functions |
| DWT Example Code | 1D DWT/IDWT Demo Code |
| SWT Example Code | 1D SWT/ISWT Demo Code |
| MODWT Example Code | 1D MODWT/IMODWT Demo Code |
| WTREE Example Code | WTREE Demo Code |
| DWPT Example Code | 1D DWPT/IDWPT Demo Code |
| CWT Example Code | 1D CWT/ICWT Demo Code |
| DWT2 Example Code | 2D DWT/IDWT Demo Code |
| SWT2 Example Code | 2D SWT/ISWT Demo Code |
| MODWT2 Example Code | 2D MODWT/IMODWT Demo Code |