Name
Title | ||
|---|---|---|
Sparse signal recovery with multiple prior information: Algorithm and measurement bounds. |
Abstract | ||
|---|---|---|
•Recovery with multiple prior information via solving n-l1 minimization is proposed.•Theoretical measurement bounds required by the n-l1 minimization are established.•The derived bounds of the n-l1 minimization are sharper.•The proposed n-l1 minimization outperforms the state-of-the-art algorithms. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.sigpro.2018.06.019 | Signal Processing |
Keywords | Field | DocType |
Compressed sensing,Prior information,Weighted n−ℓ1 minimization,Measurement bounds | Minimization problem,Mathematical optimization,Weighting,Side information,Signal recovery,Algorithm,Reconstruction algorithm,Minification,Mathematics,Compressed sensing | Journal |
Volume | ISSN | Citations |
152 | 0165-1684 | 0 |
PageRank | References | Authors |
0.34 | 32 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Huynh Van Luong | 1 | 50 | 10.25 |
| Nikos Deligiannis | 2 | 311 | 37.12 |
| Jürgen Seiler | 3 | 145 | 28.28 |
| Søren Forchhammer | 4 | 406 | 53.36 |
| André Kaup | 5 | 861 | 127.24 |