Name
Title | ||
|---|---|---|
Dictionary optimization for greedy recovery in Modulated Wideband Converter based sub-Nyquist sensing |
Abstract | ||
|---|---|---|
•The performance optimization of sub-Nyquist spectrum sensing via the Modulated Wideband Converter (MWC).•The dictionary exhibits a challenging block structure when multiple mixtures are extracted from each MWC channel.•We show explicitly the role played by the dictionary coherence on the sparse recovery when greedy approaches such as S-OMP or S-OLS are used.•An original strategy is proposed to optimize the dictionary taking the specific structure of the MWC dictionary in presence of noise. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.sigpro.2022.108607 | Signal Processing |
Keywords | DocType | Volume |
Sub-Nyquist spectrum sensing,Modulated Wideband Converter,Simultaneous orthogonal least squares,Simultaneous orthogonal matching pursuit,Dictionary optimization,Dictionary coherence | Journal | 199 |
ISSN | Citations | PageRank |
0165-1684 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hassan Mortada | 1 | 0 | 0.34 |
| Jonathan Bosse | 2 | 0 | 0.34 |
| Olivier Rabaste | 3 | 0 | 1.69 |