Name
Title | ||
|---|---|---|
Hardware Implementation of Iterative Method With Adaptive Thresholding for Random Sampling Recovery of Sparse Signals. |
Abstract | ||
|---|---|---|
Sparse recovery methods find extensive applications in various fields such as image and audio processing, wireless communication, and spectral estimation. In this paper, a hardware architecture of iterative method with adaptive thresholding (IMAT) is presented to recover a sparse signal from its random samples. To demonstrate the effectiveness of IMAT, a comparison is performed between the IMAT al... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TVLSI.2018.2791351 | IEEE Transactions on Very Large Scale Integration (VLSI) Systems |
Keywords | Field | DocType |
Hardware,Algorithm design and analysis,Discrete cosine transforms,Computational complexity,Signal processing algorithms,Iterative methods | Matching pursuit,Iterative reconstruction,Computer science,Iterative method,Discrete cosine transform,Discrete transform,Computer hardware,Compressed sensing,Signal reconstruction,Hardware architecture | Journal |
Volume | Issue | ISSN |
26 | 5 | 1063-8210 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mohammad Fardad | 1 | 2 | 1.04 |
| Sayed Masoud Sayedi | 2 | 47 | 9.88 |
| Ehsan Yazdian | 3 | 16 | 4.44 |