ELUCIDATING COMPRESSIVE SENSING FROM NYQUIST CRITICAL SAMPLING

被引：0

作者：

Szu, Harold ^{[1
]}

Hsu, Charles ^{[2
]}

Charles Nguyen ^{[1
]}

机构：

[1] Catholic Univ Amer, Washington, DC 20064 USA

[2] Trident Syst Inc, Fairfax, VA 22030 USA

来源：

INDEPENDENT COMPONENT ANALYSES, COMPRESSIVE SAMPLING, WAVELETS, NEURAL NET, BIOSYSTEMS, AND NANOENGINEERING X | 2012年 / 8401卷

关键词：

D O I：

10.1117/12.923587

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

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页数：6

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