Name
Abstract | ||
|---|---|---|
In this paper, robust complex-valued sparse signal recovery is considered in the presence of impulse noise. A generalized Lorentzian norm is defined for complex-valued signals. A complex Lorentzian iterative hard thresholding algorithm is proposed to realize the signal recovery. Simulations are given to demonstrate the validity of our results. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/s00034-017-0575-9 | CSSP |
Keywords | Field | DocType |
Sparse signal recovery,Complex-valued signal,Compressive sensing,S$$\alpha $$αS distribution | Mathematical optimization,Thresholding algorithm,Signal recovery,Impulse noise,Mathematics,Compressed sensing | Journal |
Volume | Issue | ISSN |
37 | 2 | 0278-081X |
Citations | PageRank | References |
0 | 0.34 | 14 |
Authors | ||
5 | ||