Name
Abstract | ||
|---|---|---|
Conventional dictionary learning frameworks attempt to find a set of atoms that promote both signal representation and signal sparsity fora class of signals. In distributed compressive sensing (DCS), in addition to intra-signal correlation, inter-signal correlation is also exploited in the joint signal reconstruction, which goes beyond the aim of the conventional dictionary learning framework. In this letter, we propose a new dictionary learning framework in order to improve signal reconstruction performance in DCS applications. By capitalizing on the sparse common component and innovations (SCCI) model , which captures both intra- and inter-signal correlation, the proposed method iteratively finds a dictionary design that promotes various goals: i) signal representation; ii) intra-signal correlation; and iii) inter-signal correlation. Simulation results showthat our dictionary design leads to an improved DCS reconstruction performance in comparison to other designs. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/LSP.2014.2350024 | IEEE Signal Process. Lett. |
Keywords | Field | DocType |
signal representation,improved dcs reconstruction performance,compressive sensing,inter-signal correlation,dictionary learning,iterative method,compressed sensing,conventional dictionary learning frameworks,intra-signal correlation,signal reconstruction,signal sparsity fora class,joint signal reconstruction,sparse common component and innovations model,scci model,iterative methods,distributed compressive sensing | Christian ministry,Mathematical optimization,Dictionary learning,Engineering management,Computer science,Rail traffic,China,Artificial intelligence,Natural science,Beijing,Compressed sensing | Journal |
Volume | Issue | ISSN |
22 | 1 | 1070-9908 |
Citations | PageRank | References |
8 | 0.48 | 9 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wei Chen | 1 | 56 | 4.40 |
| Ian J. Wassell | 2 | 288 | 35.10 |
| Miguel R. D. Rodrigues | 3 | 1500 | 111.23 |