Distributed Source Coding: Theory and Practice
Shuang Wang
Sold by Kennys Bookstore, Olney, MD, U.S.A.
AbeBooks Seller since October 9, 2009
New - Hardcover
Condition: New
Quantity: 1 available
Add to basketSold by Kennys Bookstore, Olney, MD, U.S.A.
AbeBooks Seller since October 9, 2009
Condition: New
Quantity: 1 available
Add to basketDistributed source coding is one of the key enablers for efficient cooperative communication. The potential applications range from wireless sensor networks, ad-hoc networks, and surveillance networks, to robust low-complexity video coding, stereo/Multiview video coding, HDTV, hyper-spectral and multispectral imaging, and biometrics. Num Pages: 384 pages. BIC Classification: GPF; TJK. Category: (P) Professional & Vocational. Dimension: 239 x 161 x 23. Weight in Grams: 608. . 2017. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.
Seller Inventory # V9780470688991
Distributed source coding is one of the key enablers for efficient cooperative communication. The potential applications range from wireless sensor networks, ad-hoc networks, and surveillance networks, to robust low-complexity video coding, stereo/Multiview video coding, HDTV, hyper-spectral and multispectral imaging, and biometrics.
The book is divided into three sections: theory, algorithms, and applications. Part one covers the background of information theory with an emphasis on DSC; part two discusses designs of algorithmic solutions for DSC problems, covering the three most important DSC problems: Slepian-Wolf, Wyner-Ziv, and MT source coding; and part three is dedicated to a variety of potential DSC applications.
Key features:
The book provides fundamental knowledge for engineers and computer scientists to access the topic of distributed source coding. It is also suitable for senior undergraduate and first year graduate students in electrical engineering; computer engineering; signal processing; image/video processing; and information theory and communications.
SHUANG WANG, University of California, San Diego, USA
YONG FANG, Northwest A&F University, China
SAMUEL CHENG, University of Oklahoma, USA
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