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 Theory, Algorithms and Applications
To order this title, and for more information, click here
By
Pier Luigi Dragotti
Michael Gastpar
Description
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.
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
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 Assistant 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.
Audience
Signal and image processing researchers, R&D engineers, systems designers and implementers and graduate students.
Contents
Theory:
1. Foundations of Distributed Source Coding (Krishnan Eswaran and Michael Gastpar, UC Berkeley)
2. Distributed transform
coding (Varit Chaisinthop and Pier Luigi Dragotti, Imperial College London)
3. Quantization for Distributed Source Coding (David Rebollo-Monedero,
Universitat Politecnica de Catalunya, and Bernd Girod, Stanford University)
4. Zero-error Distributed Source Coding (Ertem Tuncel, Jayanth
Nayak, UC at Riverside, Kenneth Rose, UC at Santa Barbara)
5. Distributed Coding of Sparse Signals (Vivek Goyal, Massachusetts Institute
of Technology, Alyson Fletcher, University of California, Berkeley, Sundeep Rangan, Qualcomm Technologies, Inc.)
Algorithms and Applications:
1. Towards constructive Slepian-Wolf coding schemes (Christine Guillemot and Aline Roumy, INRIA, France)
2. Distributed Compression
in Microphone Array (Olivier Roy, T. Ajdler, R. Konsbruck and Martin Vetterli, Swiss Federal Institute of Technology)
3. Distributed
Video Coding: Basics, Codecs and Performance (Fernando Pereira, Catarina Brites, Jo?o Ascenso, IST, Portugal)
4. Model Based Multi-view
Video Compression using Distributed Source Coding Principles (Jayanth Nayak, Bi Song, Ertem Tuncel and Amit Roy Chowdhury, University
of California at Riverside)
5. Distributed Compression of Hyperspectral Imagery (Ngai-Man Cheung and Antonio Ortega, University of South
California)
6. Securing Biometric Data (Anthony Vetro, Mitsubishi Electric Research Labs (MERL), Stark Draper, Univ Wisconsin-Madison,
Shantanu Rane, MERL, Jonathan Yedidia, MERL)
| Bibliographic details |
Hardbound, 352 pages, publication date: FEB-2009
ISBN-13: 978-0-12-374485-2
Imprint: ACADEMIC PRESS
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| Price and Ordering |
Price:
EUR 84.95
USD 129.95
GBP 64.99
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Last update: 1 Oct 2008
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