Orthogonal Least Squares Algorithms for Sparse Signal Reconstruction
Added after previous version
ols_gp: Sparse reconstruction by Orthogonal Least Squares followed by Gradient Pursuit
ols_nomp: Sparse reconstruction by Orthogonal Least Squares followed by Approximate Conjugate Gradient Pursuit
ols_pcgp: Sparse reconstruction by Orthogonal Least Squares followed by Partial Conjugate Gradient Pursuit
Cite As
Angshul Majumdar (2025). Orthogonal Least Squares Algorithms for Sparse Signal Reconstruction (https://www.mathworks.com/matlabcentral/fileexchange/22828-orthogonal-least-squares-algorithms-for-sparse-signal-reconstruction), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Platform Compatibility
Windows macOS LinuxCategories
- Signal Processing > Signal Processing Toolbox > Transforms, Correlation, and Modeling > Transforms > Discrete Fourier and Cosine Transforms >
Tags
Acknowledgements
Inspired by: Orthogonal Least Squares Algorithms for Sparse Signal Reconstruction
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Discover Live Editor
Create scripts with code, output, and formatted text in a single executable document.
SparseOLS/
Version | Published | Release Notes | |
---|---|---|---|
1.0.0.0 |