Orthogonal Least Squares Algorithms for Sparse Signal Reconstruction
Version 1.0.0.0 (4.28 KB) by
Angshul Majumdar
Greedy Algorithms for Underdetermined but Sparse Solutions
OLS - Orthogonal Least Squares: Proposed by T. Blumensath, M. E. Davies
StOLS - Stagewise OLS: Combining StOMP ideas with OLS
ROLS - Regularized OLS: Combining ROMP ideas with OLS
Cite As
Angshul Majumdar (2026). Orthogonal Least Squares Algorithms for Sparse Signal Reconstruction (https://uk.mathworks.com/matlabcentral/fileexchange/22776-orthogonal-least-squares-algorithms-for-sparse-signal-reconstruction), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
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R2007a
Compatible with any release
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- Signal Processing > Signal Processing Toolbox > Transforms, Correlation, and Modeling > Transforms > Discrete Fourier and Cosine Transforms >
Find more on Discrete Fourier and Cosine Transforms in Help Center and MATLAB Answers
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Acknowledgements
Inspired: Orthogonal Least Squares Algorithms for Sparse Signal Reconstruction, CoSaMP and OMP for sparse recovery
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SparseOLS/
| Version | Published | Release Notes | |
|---|---|---|---|
| 1.0.0.0 |
