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 **
 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.
 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.
-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.
Rami Khushaba (2022). 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 .
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