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

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

Houston Methodist

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

400 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.

Original language	English (US)
Title of host publication	Proceedings - IEEE International Symposium on Circuits and Systems
Pages	1959-1962
Number of pages	4
State	Published - 2007
Event	2007 IEEE International Symposium on Circuits and Systems, ISCAS 2007 - New Orleans, LA, United States Duration: May 27 2007 → May 30 2007

Other

Other	2007 IEEE International Symposium on Circuits and Systems, ISCAS 2007
Country/Territory	United States
City	New Orleans, LA
Period	5/27/07 → 5/30/07

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Electrical and Electronic Engineering

Cite this

Laska, JN, Kirolos, S, Duarte, MF, Ragheb, TS, Baraniuk, RG & Massoud, Y 2007, Theory and implementation of an analog-to-information converter using random demodulation. in Proceedings - IEEE International Symposium on Circuits and Systems., 4253049, pp. 1959-1962, 2007 IEEE International Symposium on Circuits and Systems, ISCAS 2007, New Orleans, LA, United States, 5/27/07.

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AU - Laska, Jason N.

AU - Kirolos, Sami

AU - Duarte, Marco F.

AU - Ragheb, Tamer S.

AU - Baraniuk, Richard G.

AU - Massoud, Yehia

PY - 2007

Y1 - 2007

N2 - 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.

AB - 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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M3 - Conference contribution

AN - SCOPUS:34548856255

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BT - Proceedings - IEEE International Symposium on Circuits and Systems

T2 - 2007 IEEE International Symposium on Circuits and Systems, ISCAS 2007

Y2 - 27 May 2007 through 30 May 2007

ER -

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

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ASJC Scopus subject areas

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