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Network-aware Source Coding and Communication

Network-aware Source Coding and Communication

Network-aware Source Coding and Communication

Nima Sarshar, University of Regina, Saskatchewan, Canada
Xiaolin Wu, McMaster University, Ontario
Jia Wang, Shanghai Jiao Tong University, China
Sorina Dumitrescu, McMaster University, Ontario
March 2012
Adobe eBook Reader
9781139211017
$108.00
USD
Adobe eBook Reader
GBP
Hardback

    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 and students in information theory and network theory.

    • First book covering network information flow with fidelity
    • Demonstrates how higher overall bandwidth economy can be achieved by allowing network clients to reconstruct a source signal at different fidelities, rather than insisting on an identical reconstruction at all sinks
    • Detailed descriptions of code design algorithms make them easy for readers to implement

    Product details

    March 2012
    Adobe eBook Reader
    9781139211017
    0 pages
    0kg
    67 b/w illus. 5 tables
    This ISBN is for an eBook version which is distributed on our behalf by a third party.

    Table of Contents

    • 1. Introduction
    • Part I. The Lossless Scenario:
    • 2. Lossless multicast with a single source
    • 3. Lossless multicast of multiple uncorrelated sources
    • 4. Lossless multicast of multiple correlated sources
    • Part II. The Lossy Scenario:
    • 5. Lossy source communication: an approach based on multiple-description codes
    • 6. Solving the rainbow network flow problem
    • 7. Continuous rainbow network flow: rainbow network flow with unbounded delay
    • 8. Practical methods for MDC design
    • 9. Using progressive codes for lossy source communication
    • 10. Lossy communication of multiple correlated sources.