orthogonal least squares algorithms for sparse signal reconstruction in matlab

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.

Project Files: 

File NameSize
license.txt 1536
demo.m 955
fdrthresh.m 549
GenSig.m 111
matrix_normalizer.m 106
OLS.m 908
ols_gp.m 14799
ols_nomp.m 18095
ols_pcgp.m 15849
ROLS.m 1733
StOLS.m 1358

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