Feature Extraction Using Multisignal Wavelet Packet Decomposition

Its simply a feature extraction code using the Wavelet Packet Transform (WPT).
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Updated 8 Feb 2017

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The code represents a generalization of the Multisignal 1-D wavelet decomposition. I have written a simple routine to extract the full tree out of the Matlab "mdwtdec" function available within the wavelet toolbox.
The code is efficient and very simple, and is mainly written for feature extraction from the WPT tree using an overlapping windowing approach.
To use the code: the main function is getmswpfeat, read inside the code for an example.
** Kindly cite either of the following papers if you use this code **

References:

[1] R. N. Khushaba, A. Al-Jumaily, and A. Al-Ani, “Novel Feature Extraction Method based on Fuzzy Entropy and Wavelet Packet Transform for Myoelectric Control”, 7th International Symposium on Communications and Information Technologies ISCIT2007, Sydney, Australia, pp. 352 – 357.

[2] R. N. Khushaba, S. Kodagoa, S. Lal, and G. Dissanayake, “Driver Drowsiness Classification Using Fuzzy Wavelet Packet Based Feature Extraction Algorithm”, IEEE Transaction on Biomedical Engineering, vol. 58, no. 1, pp. 121-131, 2011.

Notes:
-You can use the code on one or multiple signals, these are given as columns of variable x.
- You can use the matlab wavelet toolbox or the wmtsa wavelet toolbox http://www.atmos.washington.edu/~wmtsa/

-Tutorial available within submission.

Cite As

Rami Khushaba (2024). Feature Extraction Using Multisignal Wavelet Packet Decomposition (https://www.mathworks.com/matlabcentral/fileexchange/33146-feature-extraction-using-multisignal-wavelet-packet-decomposition), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2010b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes
1.3.0.0

Tutorial: typos fixed.
http Link fixed
Link to wmtsa wavelet toolbox updated

1.2.0.0

Code organized and added support for the wmtsa wavelet toolbox (in case you don't have the matlab wavelet toolbox).

1.1.0.0

A newer version added for feature extraction from multiple signals at the same time (if you have enough memory ;-) ).

1.0.0.0