From 1e597aaffa318e074887c8350bcf909c83e0e65d Mon Sep 17 00:00:00 2001 From: Rafat Hussain Date: Mon, 8 Apr 2019 17:48:19 +0530 Subject: [PATCH] Update README.md --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 5cb0974..76f940c 100644 --- a/README.md +++ b/README.md @@ -9,9 +9,9 @@ Discrete Wavelet Transform Methods Implemented DWT/IDWT and DWT2/IDWT2 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 and SWT/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 MODWT implementation. +SWT/ISWT and 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 MODWT implementation. -MODWT/IMODWT and MODWT/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. +MODWT/IMODWT and 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