Elucidating compressive sensing from Nyquist critical sampling

Harold Szu; Charles Hsu; Charles Nguyen

doi:10.1117/12.923587

15 May 2012 Elucidating compressive sensing from Nyquist critical sampling

Harold Szu, Charles Hsu, Charles Nguyen

Proceedings Volume 8401, Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering X; 84010I (2012) https://doi.org/10.1117/12.923587
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

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.

Citation Download Citation

Harold Szu, Charles Hsu, and Charles Nguyen "Elucidating compressive sensing from Nyquist critical sampling", Proc. SPIE 8401, Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering X, 84010I (15 May 2012); https://doi.org/10.1117/12.923587

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