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Theory and Implementation of an Analog-to-Information Converter using Random Demodulation

Submitted by Jaska on Wed, 02/14/2007 - 6:17am.

Authors:

Jason N. Laska, Sami KIrolos, Marco F. Duarte, Tamer S. Ragheb, Richard G. Baraniuk, Yehia Massoud

Source:

IEEE Symposium on Circuits and Systems (2007)

URL:

http://www.ece.rice.edu/~jnl5066/papers/ISCAS_randmod.pdf

Abstract:

The new theory of compressive sensing enables direct analog-to-information conversion of compressible signals at sub- Nyquist acquisition rates. We develop new theory, algorithms, performance bounds, and a prototype implementation for an analog- to-information converter based on random demodulation. The architecture is particularly apropos for wideband signals that are sparse in the time-frequency plane. End-to-end simulations of a complete transistor-level implementation prove the concept under the effect of circuit nonidealities.

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