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Theory and Implementation of an Analog-to-Information Converter Using Random Demodulation
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BibTeX
@MISC{Laska_theoryand,
author = {Jason N. Laska and et al.},
title = {Theory and Implementation of an Analog-to-Information Converter Using Random Demodulation},
year = {}
}
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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 analogto-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.
Keyphrases
analog-to-information converter new theory time-frequency plane performance bound analogto-information converter complete transistor-level implementation random demodulation prototype implementation compressible signal wideband signal sub-nyquist acquisition rate circuit nonidealities end-to-end simulation
