Compressive Frequency Sensing Techique Using Discrete Prolate Spheroidal Sequences
| Autor: | Younam Kim, Jinsung Oh |
|---|---|
| Rok vydání: | 2011 |
| Předmět: |
Physics
Basis (linear algebra) Applied Mathematics Acoustics Data_CODINGANDINFORMATIONTHEORY Prolate spheroid Computer Graphics and Computer-Aided Design Signal Matrix (mathematics) Compressed sensing Wideband signal Band-pass filter Signal Processing Electrical and Electronic Engineering Energy (signal processing) |
| Zdroj: | IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. :1140-1143 |
| ISSN: | 1745-1337 0916-8508 |
| DOI: | 10.1587/transfun.e94.a.1140 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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