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.
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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 channels, it is illustrated throughout with real-world applications, including sensor networks and multimedia communications.
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.
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