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Theory and implementation of an analog-to-information converter using random demodulation

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original languageEnglish (US)
Title of host publication2007 IEEE International Symposium on Circuits and Systems, ISCAS 2007
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1959-1962
Number of pages4
ISBN (Print)1424409209
DOIs
StatePublished - 2007
Event2007 IEEE International Symposium on Circuits and Systems, ISCAS 2007 - New Orleans, LA, United States
Duration: May 27 2007 → May 30 2007

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
ISSN (Print)0271-4310

Other

Other2007 IEEE International Symposium on Circuits and Systems, ISCAS 2007
Country/TerritoryUnited States
CityNew Orleans, LA
Period5/27/07 → 5/30/07

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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