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Random Sampling for Analog-to-Information Conversion of Wideband Signals

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7 Author(s)
Laska, J. ; Dept. of Electr. & Comput. Eng., Rice Univ., Houston, TX ; Kirolos, S. ; Massoud, Y. ; Baraniuk, R.
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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 33times sub-Nyquist average sampling rate with little degradation in signal quality

Published in:

Design, Applications, Integration and Software, 2006 IEEE Dallas/CAS Workshop on

Date of Conference:

Oct. 2006