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Compressive Sensing for Wireless Networks by Zhu Han, Wotao Yin, Husheng Li

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1

Introduction

Sampling is not only a beautiful research topic with an interesting history, but also a subject with high practical impact, at the heart of signal processing and communications and their applications. Conventional approaches to sample signals or images follow Shannon’s celebrated theorem: the sampling rate must be at least twice the maximum frequency present in the signal (the so-called Nyquist rate) has been to some extent accepted and widely used ever since the sampling theorem was implied by the work of Harry Nyquist in 1928 (“Certain topics in telegraph transmission theory”) and was proved by Claude E. Shannon in 1949 (“Communication in the presence of noise”). However, with the increasing demand for higher resolutions and ...

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