Random sampling for analog-to-information conversion of wideband signals
| Title | Random sampling for analog-to-information conversion of wideband signals |
| Publication Type | Conference Paper |
| Authors | J. N. Laska, S. Kirolos, Y. Massoud, R. G. Baraniuk, A. C. Gilbert, M. Iwen, and M. J. Strauss |
| 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. |
| Year of Publication | 2006 |
| Month | Oct. |
| Conference Name | Proceedings of the IEEE Dallas Circuits and Systems Workshop (DCAS) |
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