Name
Abstract | ||
|---|---|---|
To overcome the challenges in high-speed sampling and processing of real-time spectrum measurement, compressive sensing (CS) theory has been implemented in wideband spectrum sensing. Moreover, to take full advantage of CS, the nonconvex Lv-norm minimization algorithms are employed to reconstruct the wideband signals from compressive samples. However, solving these algorithms usually leads to relat... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/LWC.2018.2810231 | IEEE Wireless Communications Letters |
Keywords | Field | DocType |
Minimization,Sensors,Wideband,Signal reconstruction,Computational complexity,Approximation algorithms,Real-time systems | Convergence (routing),Approximation algorithm,Wideband,Mathematical optimization,Algorithm,Minification,Time complexity,Mathematics,Signal reconstruction,Compressed sensing,Computational complexity theory | Journal |
Volume | Issue | ISSN |
7 | 4 | 2162-2337 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xingjian Zhang | 1 | 9 | 5.55 |
| Yuan Ma | 2 | 24 | 8.49 |
| Haoran Qi | 3 | 31 | 5.95 |
| Yue Gao | 4 | 558 | 52.83 |