Name
Title | ||
|---|---|---|
Iterative null space projection method with adaptive thresholding in sparse signal recovery. |
Abstract | ||
|---|---|---|
Adaptive thresholding methods have proved to yield a high signal-to-noise ratio (SNR) and fast convergence in sparse signal recovery. The robustness of a class of iterative sparse recovery algorithms, such as the iterative method with adaptive thresholding, has been found to outperform the state-of-art methods in respect of reconstruction quality, convergence speed, and sensitivity to noise. In th... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1049/iet-spr.2016.0626 | IET Signal Processing |
Keywords | Field | DocType |
iterative methods,signal reconstruction,signal restoration | Kernel (linear algebra),Convergence (routing),Control theory,Iterative method,Signal-to-noise ratio,Algorithm,Robustness (computer science),Thresholding,Mathematics,Signal reconstruction,Compressed sensing | Journal |
Volume | Issue | ISSN |
12 | 5 | 1751-9675 |
Citations | PageRank | References |
2 | 0.36 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ashkan Esmaeili | 1 | 7 | 2.59 |
| Ehsan Asadi Kangarshahi | 2 | 2 | 0.36 |
| Farokh Marvasti | 3 | 573 | 72.71 |