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Proceedings Paper

Elucidating compressive sensing from Nyquist critical sampling
Author(s): Harold Szu; Charles Hsu; Charles Nguyen
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Paper Abstract

Conventional sub-Nyquist sampling methods for analog signals exploit prior information about the spectral sup-port. In this paper, we consider the challenging problem of sub-Nyquist sampling of bandlimited or sparse signals. Can the new paradigm Compressive Sampling (CS) challenge Shannon-Nyquist? Our preliminary development goal is to study and evaluate to reduce the system process load and still provide sufficient and useful information. We also review radio frequency process and Shannon Nyquist Sampling Theorem.

Paper Details

Date Published: 15 May 2012
PDF: 6 pages
Proc. SPIE 8401, Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering X, 84010I (15 May 2012); doi: 10.1117/12.923587
Show Author Affiliations
Harold Szu, The Catholic Univ. of America (United States)
Charles Hsu, Trident Systems Inc. (United States)
Charles Nguyen, The Catholic Univ. of America (United States)


Published in SPIE Proceedings Vol. 8401:
Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering X
Harold Szu, Editor(s)

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