On compressed sensing and super-resolution in DFT-based spectral analysis |
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| Matteo Bertocco, Guglielmo Frigo, Claudio Narduzzi |
- Abstract:
- The paper discusses a novel frequency interpolation and super-resolution method for multitone waveform analysis, where a compressive sensing algorithm is employed to process data. Each signal acquisition involves a short data record, whose DFT coefficients are computed. A set of compressed measurements is obtained by taking records with different known starting instants, and employed to determine, by solving an orthogonal matching pursuit problem, the set of frequency components of the analysed waveform. Interpolation is presented as a compressed sensing problem and algorithm performances discussed.
- Keywords:
- spectral analysis, frequency interpolation, compressed sensing
- Download:
- IMEKO-TC4-2013-143.pdf
- DOI:
- -
- Event details
- IMEKO TC:
- TC4
- Event name:
- TC4 Symposium 2013
- Title:
- 19th IMEKO TC4 Symposium Measurements of Electrical Quantities (together with 17th TC4 IWADC Workshop on ADC and DAC Modelling and Testing)
- Place:
- Barcelona, SPAIN
- Time:
- 18 July 2013 - 19 July 2013