The LiMapS algorithm
Sparsity Recovery by Iterative Orthogonal Projections of Nonlinear Mappings
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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://in.mathworks.com/matlabcentral/fileexchange/35027-the-limaps-algorithm), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0.0 (280 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 |
