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 Name | Size |
---|---|

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 |