Implementation models for analog-to-information conversion via random sampling

Tamer Ragheb, Sami Kirolos, Jason Laska, Anna Gilbert, Martin Strauss, Richard Baraniuk, Yehia Massoud

Research output: Chapter in Book/Report/Conference proceedingConference contribution

68 Scopus citations

Abstract

We develop a framework for analog-to-information conversion based on the theory of information recovery from random samples. The framework enables sub-Nyquist acquisition and processing of wideband signals that are sparse in a local Fourier representation. We present the random sampling theory associated with an efficient information recovery algorithm to compute the spectrogram of the signal. Additionally, we develop a hardware design for the random sampling system that demonstrates a consistent reconstruction fidelity in the presence of sampling jitter, which forms the main source of non-ideality in a practical system implementation.

Original languageEnglish (US)
Title of host publication2007 50th Midwest Symposium on Circuits and Systems, MWSCAS - Conference Proceedings
Pages325-328
Number of pages4
DOIs
StatePublished - Dec 1 2007
Event2007 50th Midwest Symposium on Circuits and Systems, MWSCAS - Conference - Montreal, QC, Canada
Duration: Aug 5 2007Aug 8 2007

Other

Other2007 50th Midwest Symposium on Circuits and Systems, MWSCAS - Conference
CountryCanada
CityMontreal, QC
Period8/5/078/8/07

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Implementation models for analog-to-information conversion via random sampling'. Together they form a unique fingerprint.

Cite this