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 proceedingConference contribution

371 Scopus citations

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. © 2007 IEEE.
Original languageEnglish (US)
Title of host publicationProceedings - IEEE International Symposium on Circuits and Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1959-1962
Number of pages4
DOIs
StatePublished - Jan 1 2007
Externally publishedYes

Fingerprint

Dive into the research topics of 'Theory and implementation of an analog-to-information converter using random demodulation'. Together they form a unique fingerprint.

Cite this