Greedy Algorithms and Greedy Analysis Pursuit for Non-linear sparse recovery

Version 1.0.0.0 (6.76 KB) by Kavya Gupta
Modifications to Greedy Algorithms and Greedy Analysis Pursuit(GAP) for non-Linear sparse Recovery.
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Updated 18 Dec 2014

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First part of this work represents modifications in the existing OMP and COSAMP greedy algorithms so that they can effectively recover even in the Non linear sparse scenarios such as exponential and logarithmic. (contains minor changes to the work posted earlier)
Second part of this work represents modifications to Analysis prior counter part of Greedy Algorithms that is Greedy Analysis Pursuit (GAP) so that they can effectively work for Non-linear sparse scenario. The signal is cosparse. Sparco toolbox is used: http://www.cs.ubc.ca/labs/scl/sparco/

Cite As

Kavya Gupta (2024). Greedy Algorithms and Greedy Analysis Pursuit for Non-linear sparse recovery (https://www.mathworks.com/matlabcentral/fileexchange/48786-greedy-algorithms-and-greedy-analysis-pursuit-for-non-linear-sparse-recovery), MATLAB Central File Exchange. Retrieved .

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GA&GAP/NLGAP/

GA&GAP/NLGreedy algo/

Version Published Release Notes
1.0.0.0