Compressive Sensing for Wireless Networks Hardback
by Zhu (University of Houston) Han, Husheng (University of Tennessee, Knoxville) Li, Wotao (Rice University, Houston) Yin
Hardback
- Information
Description
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.
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Hardback
- Pages:304 pages, Worked examples or Exercises; 7 Tables, black and white; 100 Line drawings, unspecified
- Publisher:Cambridge University Press
- Publication Date:06/06/2013
- Category:
- ISBN:9781107018839
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Hardback
- Pages:304 pages, Worked examples or Exercises; 7 Tables, black and white; 100 Line drawings, unspecified
- Publisher:Cambridge University Press
- Publication Date:06/06/2013
- Category:
- ISBN:9781107018839