The LiMapS algorithm
Version 1.0.0.0 (280 KB) by
Alessandro
Sparsity Recovery by Iterative Orthogonal
Projections of Nonlinear Mappings
A new regularization method for sparse representation based on a fixed-point iteration schema which combines two Lipschitzian-type mappings: an orthogonal projector and a nonlinear one for sparsity promotion.
Cite As
Alessandro (2026). The LiMapS algorithm (https://www.mathworks.com/matlabcentral/fileexchange/35027-the-limaps-algorithm), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Created with
R2011a
Compatible with any release
Platform Compatibility
Windows macOS LinuxCategories
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| Version | Published | Release Notes | |
|---|---|---|---|
| 1.0.0.0 |
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