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Compressive Sensing for Wireless Networks
Zhu Han
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Description for Compressive Sensing for Wireless Networks
hardcover. This comprehensive reference delivers the understanding and skills needed to take advantage of compressive sensing in wireless networks. Num Pages: 304 pages, 100 b/w illus. 7 tables. BIC Classification: TJKW; UYS. Category: (P) Professional & Vocational. Dimension: 253 x 174 x 20. Weight in Grams: 788.
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 ... Read more
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 ... Read more
Product Details
Format
Hardback
Publication date
2013
Publisher
Cambridge University Press
Number of pages
304
Condition
New
Number of Pages
304
Place of Publication
Cambridge, United Kingdom
ISBN
9781107018839
SKU
V9781107018839
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-14
About Zhu Han
Zhu Han is an Associate Professor in the Electrical and Computer Engineering Department at the University of Houston, Texas. He received an NSF CAREER award in 2010 and the IEEE Fred W. Ellersick Prize in 2011. He co-authored papers that won the best paper award at the IEEE International Conference on Communications 2009, the 7th International Symposium on Modeling and ... Read more
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