Name
Title | ||
|---|---|---|
Compressed Sensing Based UWB Receiver Using Signal-Matched Sparse Measurement Matrix. |
Abstract | ||
|---|---|---|
In this paper, we propose a deterministic signal-matched sparse measurement matrix for ultra wideband (UWB) systems. The proposed matrix is easy to implement and is computationally efficient as needed in a practical system. The proposed matrix captures higher signal energy in the compressive sensing (CS) domain as compared to the commonly used random matrices. Furthermore, a simple OneShot signal ... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TVT.2018.2881509 | IEEE Transactions on Vehicular Technology |
Keywords | Field | DocType |
Sparse matrices,Receivers,Complexity theory,Noise measurement,Loss measurement,Energy measurement,Compressed sensing | Noise measurement,Computer science,Matrix (mathematics),Electronic engineering,Energy (signal processing),Ultra-wideband,Nyquist rate,Sparse matrix,Compressed sensing,Random matrix | Journal |
Volume | Issue | ISSN |
68 | 1 | 0018-9545 |
Citations | PageRank | References |
1 | 0.37 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sanjeev Sharma | 1 | 236 | 30.20 |
| Anubha Gupta | 2 | 44 | 19.52 |
| Vimal Bhatia | 3 | 134 | 45.36 |