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Random sampling for analog-to-information conversion of wideband signals (2006)
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| Venue: | Proc. IEEE Dallas Circuits and Systems Workshop (DCAS |
| Citations: | 60 - 14 self |
BibTeX
@INPROCEEDINGS{Laska06randomsampling,
author = {Jason Laska and Sami Kirolos and Yehia Massoud and Richard Baraniuk and Anna Gilbert and Mark Iwen and Martin Strauss},
title = {Random sampling for analog-to-information conversion of wideband signals},
booktitle = {Proc. IEEE Dallas Circuits and Systems Workshop (DCAS},
year = {2006}
}
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Abstract
Abstract — We develop a framework for analog-to-information conversion that enables sub-Nyquist acquisition and processing of wideband signals that are sparse in a local Fourier representation. The first component of the framework is a random sampling system that can be implemented in practical hardware. The second is an efficient information recovery algorithm to compute the spectrogram of the signal, which we dub the sparsogram. A simulated acquisition of a frequency hopping signal operates at 33 × sub-Nyquist average sampling rate with little degradation in signal quality. I.
