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When wavelet meet HMM

version 1.0.0.0 (22.7 KB) by Su Dongcai
1D signal denoising and classification using WHMT

9 Downloads

Updated 30 Nov 2009

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To duplicate results of the screenshot, please run:
test_WHMM

This script is an implementation of Reference [1], including 2 parts:
1. 1D signal denoising (page 9~11)
2. 1D random process(RP) classification (page 12)
Reference:
[1] Wavelet-Based Statistical Signal Processing Using Hidden Markov Models:
MS Crouse, RD Nowak, RG Baraniuk - IEEE transactions on signal processing, 1998 - dsp.rice.edu.
Available at:
http://scholarship.rice.edu/bitstream/handle/1911/19815/Cro1998Apr1Wavelet-Ba.PDF?sequence=1
Acknowledgment:
The author wish to thank Prof. Justin Romberg for his 'hmt1d' toolbox and
his kindly help of how to use it.

Cite As

Su Dongcai (2020). When wavelet meet HMM (https://www.mathworks.com/matlabcentral/fileexchange/25985-when-wavelet-meet-hmm), MATLAB Central File Exchange. Retrieved .

Comments and Ratings (1)

To create a folder named "whmm ", otherwise the following error message appears:
Error using save
Cannot create 'noisyDoppler.mat' because '.\whmm' does not exist.

Error in trainWHMM_1d (line 18)
save('.\whmm\noisyDoppler.mat', 'ES', 'POS', 'MU_VAL', 'SI');

Error in test_WHMM (line 21)
trainWHMM_1d(xn, 0);

MATLAB Release Compatibility
Created with R14SP3
Compatible with any release
Platform Compatibility
Windows macOS Linux