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

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

doi:10.1109/MWSCAS.2007.4488599

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 proceeding › Conference contribution

69 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 language	English (US)
Title of host publication	2007 50th Midwest Symposium on Circuits and Systems, MWSCAS - Conference Proceedings
Pages	325-328
Number of pages	4
DOIs	https://doi.org/10.1109/MWSCAS.2007.4488599
State	Published - Dec 1 2007
Event	2007 50th Midwest Symposium on Circuits and Systems, MWSCAS - Conference - Montreal, QC, Canada Duration: Aug 5 2007 → Aug 8 2007

Other

Other	2007 50th Midwest Symposium on Circuits and Systems, MWSCAS - Conference
Country/Territory	Canada
City	Montreal, QC
Period	8/5/07 → 8/8/07

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Electrical and Electronic Engineering

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10.1109/MWSCAS.2007.4488599

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Implementation models for analog-to-information conversion via random sampling. / Ragheb, Tamer; Kirolos, Sami; Laska, Jason; Gilbert, Anna; Strauss, Martin; Baraniuk, Richard; Massoud, Yehia.

2007 50th Midwest Symposium on Circuits and Systems, MWSCAS - Conference Proceedings. 2007. p. 325-328 4488599.

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

Ragheb, T, Kirolos, S, Laska, J, Gilbert, A, Strauss, M, Baraniuk, R & Massoud, Y 2007, Implementation models for analog-to-information conversion via random sampling. in 2007 50th Midwest Symposium on Circuits and Systems, MWSCAS - Conference Proceedings., 4488599, pp. 325-328, 2007 50th Midwest Symposium on Circuits and Systems, MWSCAS - Conference, Montreal, QC, Canada, 8/5/07. https://doi.org/10.1109/MWSCAS.2007.4488599

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AU - Massoud, Yehia

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AB - 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.

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

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