Description Details Author(s) References Examples

Utilities for sparse signal recovery suitable for compressed sensing. L1, L2 and TV penalties, DFT basis matrix, simple sparse signal generator, mutual cumulative coherence between two matrices and examples, Lp complex norm, scaling back regression coefficients.

Package: | R1magic |

Type: | Package |

Version: | 0.3.2 |

Date: | 2014-04-19 |

License: | GPL (>= 3) |

LazyLoad: | yes |

Mehmet Suzen Maintainer: Mehmet Suzen <[email protected]>

Emmanuel Candes, Justin Romberg, and Terence Tao, Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information. (IEEE Trans. on Information Theory, 52(2) pp. 489 - 509, February 2006)

Emmanuel Candes and Justin Romberg, Quantitative robust uncertainty principles and optimally sparse decompositions. (Foundations of Comput. Math., 6(2), pp. 227 - 254, April 2006)

David Donoho, Compressed sensing. (IEEE Trans. on Information Theory, 52(4), pp. 1289 - 1306, April 2006)

1 | ```
CompareL1_L2_TV1(100,10,0.1);
``` |

R1magic documentation built on May 29, 2017, 9:28 p.m.

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.