Name
Abstract | ||
|---|---|---|
The simultaneous orthogonal matching pursuit (SOMP) algorithm aims to find the joint support of a set of sparse signals acquired under a multiple measurement vector model. Critically, the analysis of SOMP depends on the maximal inner product of any atom of a suitable dictionary and the current signal residual, which is formed by the subtraction of previously selected atoms. This inner product, or ... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/LSP.2016.2612759 | IEEE Signal Processing Letters |
Keywords | DocType | Volume |
Matching pursuit algorithms,Atomic measurements,Signal processing algorithms,Eigenvalues and eigenfunctions,Noise measurement,Mathematical model | Journal | 23 |
Issue | ISSN | Citations |
11 | 1070-9908 | 2 |
PageRank | References | Authors |
0.38 | 11 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jean-Francois Determe | 1 | 29 | 4.14 |
| Louveaux Jérôme | 2 | 284 | 27.22 |
| Laurent Jacques | 3 | 538 | 41.92 |
| Horlin François | 4 | 351 | 44.46 |