Compressive Sensing for Wireless Networks


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.

eBook Details:
Category: Networking
Author: Professor Zhu Han
Press: Cambridge University Press
Language: English
ISBN10: 1107018838
ISBN13: 9781107018839
Pages: 304
PubDate: 2013-07-15 00:00:00
UploadDate: 6/2/2016 8:35:04 am

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