On the feasibility of hardware implementation of sub-Nyquist random-sampling based analog-to-information conversion

Stephen Pfetsch, Tamer Ragheb, Jason Laska, Hamid Nejati, Anna Gilbert, Martin Strauss, Richard Baraniuk, Yehia Massoud

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

39 Scopus citations

Abstract

In this paper, we successfully demonstrate the feasibility of hardware implementation of a sub-Nyquist random-sampling based analog to information converter (RS-AIC). The RS-AIC is based on the theory of information recovery from random samples using an efficient information recovery algorithm to compute the spectrogram of the signal. Our RS-AIC enables sub-Nyquist acquisition and processing of wideband signals that are sparse in a local Fourier representation. Results from our RS-AIC hardware implementation demonstrate successful reconstruction of signals that are sampled at half the Nyquist-rate while maintaining up to a 51 dB signal-to-noise ratio (SNR), which is equivalent to an 8.5 bit resolution analog to digital converter.

Original languageEnglish (US)
Title of host publication2008 IEEE International Symposium on Circuits and Systems, ISCAS 2008
Pages1480-1483
Number of pages4
DOIs
StatePublished - Sep 19 2008
Event2008 IEEE International Symposium on Circuits and Systems, ISCAS 2008 - Seattle, WA, United States
Duration: May 18 2008May 21 2008

Other

Other2008 IEEE International Symposium on Circuits and Systems, ISCAS 2008
CountryUnited States
CitySeattle, WA
Period5/18/085/21/08

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'On the feasibility of hardware implementation of sub-Nyquist random-sampling based analog-to-information conversion'. Together they form a unique fingerprint.

Cite this