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Network-aware Source Coding and Communication
Nima Sarshar
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Description for Network-aware Source Coding and Communication
hardcover. An introduction to the theory and techniques for achieving high quality network communication with the best possible bandwidth economy. Num Pages: 188 pages, 67 b/w illus. 5 tables. BIC Classification: TJK; UT. Category: (U) Tertiary Education (US: College). Dimension: 247 x 174 x 13. Weight in Grams: 530.
An introduction to the theory and techniques for achieving high quality network communication with the best possible bandwidth economy, this book focuses on network information flow with fidelity. Covering both lossless and lossy source reconstruction, it is illustrated throughout with real-world applications, including sensor networks and multimedia communications. Practical algorithms are presented, developing novel techniques for tackling design problems in joint network-source coding via collaborative multiple description coding, progressive coding, diversity routing and network coding. With systematic introductions to the basic theories of distributed source coding, network coding and multiple description coding, this is an ideal self-contained resource for researchers ... Read more
An introduction to the theory and techniques for achieving high quality network communication with the best possible bandwidth economy, this book focuses on network information flow with fidelity. Covering both lossless and lossy source reconstruction, it is illustrated throughout with real-world applications, including sensor networks and multimedia communications. Practical algorithms are presented, developing novel techniques for tackling design problems in joint network-source coding via collaborative multiple description coding, progressive coding, diversity routing and network coding. With systematic introductions to the basic theories of distributed source coding, network coding and multiple description coding, this is an ideal self-contained resource for researchers ... Read more
Product Details
Format
Hardback
Publication date
2011
Publisher
Cambridge University Press United Kingdom
Number of pages
188
Condition
New
Number of Pages
188
Place of Publication
Cambridge, United Kingdom
ISBN
9780521888400
SKU
V9780521888400
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-20
About Nima Sarshar
Nima Sarshar is an Associate Professor of Software Systems Engineering at the University of Regina, Canada. The recipient of best paper awards at IEEE P2P 2004 and SPIE VCIP 2008, his research interests include network communication of multimedia signals, large-scale distributed computing and P2P computing. Xiaolin Wu is a Professor in the Department of Electrical and Computer Engineering at McMaster ... Read more
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