Name
Abstract | ||
|---|---|---|
In this paper, we present a new frequency identification technique using the recent methodology of compressive sensing and discrete prolate spheroidal sequences with optimal energy concentration. Using the bandpass form of discrete prolate spheroidal sequences as basis matrix in compressive sensing, compressive frequency sensing algorithm is presented. Simulation results are given to present the effectiveness of the proposed technique for application to detection of carrier-frequency type signal and recognition of wideband signal in communication. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1587/transfun.E94.A.1140 | IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES |
Keywords | Field | DocType |
compressive sensing, prolate spheroidal sequences, frequency identification | Discrete mathematics,Band-pass filter,Prolate spheroid,Matrix (mathematics),Algorithm,Wideband signal,Compressed sensing,Mathematics | Journal |
Volume | Issue | ISSN |
E94A | 4 | 0916-8508 |
Citations | PageRank | References |
1 | 0.36 | 4 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jinsung Oh | 1 | 32 | 4.91 |
| Younam Kim | 2 | 8 | 1.36 |