Name
Abstract | ||
|---|---|---|
The multiway greedy algorithm is widely used for reconstructions of Tucker-decomposition-based compressive sensing. However, its practicability is limited by the fact that only one support can be updated in most iterations, which increases the required number of iterations and influences the reconstruction speed. To address this problem, in this letter, we propose a strategy for accelerating the m... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/LSP.2019.2905374 | IEEE Signal Processing Letters |
Keywords | Field | DocType |
Complexity theory,Greedy algorithms,Image reconstruction,Indexes,Hyperspectral imaging,Acceleration | Mathematical optimization,Greedy algorithm,Compressed sensing,Mathematics,Computational complexity theory | Journal |
Volume | Issue | ISSN |
26 | 5 | 1070-9908 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rongqiang Zhao | 1 | 0 | 2.03 |
| Jun Fu | 2 | 0 | 1.35 |
| Luquan Ren | 3 | 2 | 4.76 |
| Qiang Wang | 4 | 601 | 84.65 |