The following Matlab project contains the source code and Matlab examples used for 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 The source code and files included in this project are listed in the project files section, please make sure whether the listed source code meet your needs there.

Filename	Size	Update
SparseOLS\demo.m	955	2014-02-12
SparseOLS\fdrthresh.m	549	2014-02-12
SparseOLS\GenSig.m	111	2014-02-12
SparseOLS\matrix_normalizer.m	106	2014-02-12
SparseOLS\OLS.m	908	2014-02-12
SparseOLS\ols_gp.m	14799	2014-02-12
SparseOLS\ols_nomp.m	18095	2014-02-12
SparseOLS\ols_pcgp.m	15849	2014-02-12
SparseOLS\ROLS.m	1733	2014-02-12
SparseOLS\StOLS.m	1358	2014-02-12
license.txt	1536	2014-02-12

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