Distributed Source Coding
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Distributed Source Coding : Theory, Algorithms and Applications

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The advent of wireless sensor technology and ad-hoc networks has made DSC a major field of interest. Edited and written by the leading players in the field, this book presents the latest theory, algorithms and applications, making it the definitive reference on DSC for systems designers and implementers, researchers, and graduate students.

This book gives a clear understanding of the performance limits of distributed source coders for specific classes of sources and presents the design and application of practical algorithms for realistic scenarios. Material covered includes the use of standard channel codes, such as LDPC and Turbo codes, to DSC, and discussion of the suitability of compressed sensing for distributed compression of sparse signals. Extensive applications are presented and include distributed video coding, microphone arrays and securing biometric data.
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Product details

  • Hardback | 360 pages
  • 190.5 x 238.76 x 27.94mm | 1,020.58g
  • Academic Press Inc
  • San Diego, United States
  • English
  • w. figs.
  • 0123744857
  • 9780123744852

Table of contents

Foundations of Distributed Source Coding
Distributed transform coding
Quantization for Distributed Source Coding
Zero-error Distributed Source Coding
Distributed Coding of Sparse Signals
Towards constructive Slepian-Wolf coding schemes
Distributed Compression in Microphone Array
Distributed Video Coding: Basics, Codecs and Performance
Model Based Multi-view Video Compression using Distributed Source Coding Principles
Distributed Compression of Hyperspectral Imagery
Securing Biometric Data
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Review Text

"This book is a great resource covering the breadth and depth of distributed source coding that's appropriate for everyone from theoreticians to practitioners." --Richard Baraniuk, Rice University
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Review quote

"This book is a great resource covering the breadth and depth of distributed source coding that's appropriate for everyone from theoreticians to practitioners." --Richard Baraniuk, Rice University
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About Pier Luigi Dragotti

Pier Luigi Dragotti is currently a Senior Lecturer in the Electrical and Electronic Engineering Department at Imperial College, London. He has worked as a researcher at Bell Labs and EPFL and is a member of the IEEE Image and MultiDimensional Signal Processing (IMDSP) Technical Committee. Michael Gastpar is currently an Associate Professor at the University of California, Berkeley. His research interests are in network information theory and related coding and signal processing techniques, with applications to sensor networks and neuroscience. He won the 2002 EPFL Best Thesis Award, an NSF CAREER award in 2004, and an Okawa Foundation Research Grant in 2008.
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