Compressive Sensing for Wireless Networks (Hardcover, New)

Compressive sensing is a new signal processing paradigm that aims to encode sparse signals by using far lower sampling rates than those in the traditional Nyquist approach. It helps acquire, store, fuse and process large data sets efficiently and accurately. This method, which links data acquisition, compression, dimensionality reduction and optimization, has attracted significant attention from researchers and engineers in various areas. This comprehensive reference develops a unified view on how to incorporate efficiently the idea of compressive sensing over assorted wireless network scenarios, interweaving concepts from signal processing, optimization, information theory, communications and networking to address the issues in question from an engineering perspective. It enables students, researchers and communications engineers to develop a working knowledge of compressive sensing, including background on the basics of compressive sensing theory, an understanding of its benefits and limitations, and the skills needed to take advantage of compressive sensing in wireless networks.

General

Imprint:	Cambridge UniversityPress
Country of origin:	United Kingdom
Release date:	June 2013
First published:	June 2013
Authors:	Zhu Han • Husheng Li • Wotao Yin
Dimensions:	253 x 180 x 20mm (L x W x T)
Format:	Hardcover
Pages:	304
Edition:	New
ISBN-13:	978-1-107-01883-9
Categories:	Books > Computing & IT > Applications of computing > Signal processing Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > WAP (wireless) technology
LSN:	1-107-01883-8
Barcode:	9781107018839

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