Matching Pursuit with Random Sequential Subdictionaries

Version 1.0.0.0 (8.15 KB) by Manu
Naive Implementation of MP, OMP and the proposed randomized version RSSMP
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Updated 17 Jul 2012

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This piece of software is provided as support materiel for the article:
M. Moussallam, L. Daudet, G. Richard "Matching Pursuits with Random Sequential Subdictionaries", Signal Processing , 2012

Matching pursuits are a family of greedy algorithms widely used in signal processing to solve sparse approximation and recovery problems. They rely on an atom selection step that requires the calculation of numerous projections, which can be computationally costly for big dictionaries and burdens their competitivity in coding applications.

We propose to use a non adaptive random sequence of subdictionaries in the decomposition process, thus browsing a larger dictionary space in a probabilistic fashion with no additional projection cost nor parameter estimation.

Cite As

Manu (2024). Matching Pursuit with Random Sequential Subdictionaries (https://www.mathworks.com/matlabcentral/fileexchange/37537-matching-pursuit-with-random-sequential-subdictionaries), MATLAB Central File Exchange. Retrieved .

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Version Published Release Notes
1.0.0.0