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

doi:10.1109/ISCAS.2008.4541709

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 proceeding › Conference 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. ©2008 IEEE.

Original language	English (US)
Title of host publication	Proceedings - IEEE International Symposium on Circuits and Systems
Pages	1480-1483
Number of pages	4
DOIs	https://doi.org/10.1109/ISCAS.2008.4541709
State	Published - Sep 19 2008
Externally published	Yes

Bibliographical note

Generated from Scopus record by KAUST IRTS on 2022-09-13

Access to Document

10.1109/ISCAS.2008.4541709

Cite this

@inproceedings{833d4b1159214eadbef32e18e66e532c,

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

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. {\textcopyright}2008 IEEE.",

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

note = "Generated from Scopus record by KAUST IRTS on 2022-09-13",

year = "2008",

month = sep,

day = "19",

doi = "10.1109/ISCAS.2008.4541709",

language = "English (US)",

isbn = "9781424416844",

pages = "1480--1483",

booktitle = "Proceedings - IEEE International Symposium on Circuits and Systems",

}

TY - GEN

T1 - On the feasibility of hardware implementation of sub-Nyquist random-sampling based analog-to-information conversion

AU - Pfetsch, Stephen

AU - Ragheb, Tamer

AU - Laska, Jason

AU - Nejati, Hamid

AU - Gilbert, Anna

AU - Strauss, Martin

AU - Baraniuk, Richard

AU - Massoud, Yehia

N1 - Generated from Scopus record by KAUST IRTS on 2022-09-13

PY - 2008/9/19

Y1 - 2008/9/19

N2 - 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. ©2008 IEEE.

AB - 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. ©2008 IEEE.

UR - http://ieeexplore.ieee.org/document/4541709/

UR - http://www.scopus.com/inward/record.url?scp=51749103738&partnerID=8YFLogxK

U2 - 10.1109/ISCAS.2008.4541709

DO - 10.1109/ISCAS.2008.4541709

M3 - Conference contribution

SN - 9781424416844

SP - 1480

EP - 1483

BT - Proceedings - IEEE International Symposium on Circuits and Systems

ER -

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

Abstract

Bibliographical note

Access to Document

Other files and links

Fingerprint

Cite this