2009新书：Distributed Source Coding Theory

raowy2009

分布式信源编码《Distributed Source Coding: Theory, Algorithms and Applications》【原书作者】： Pier Luigi Dragotti, Michael Gastpar
【译者】：
【ISBN 】： ISBN-10: 0123744857 / ISBN-13: 978-0123744852
【页数 】：340
【开本 】 ：
【出版社】 ：Academic Press
【出版日期】：February 25, 2009
【文件格式】：PDF
【封面附图】：

【摘要或目录】：  
Book Description
Everything a signal and image processing engineer needs to know about distributed source coding - theorems, practical algorithms for design and the latest applications.

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.

*Clear explanation of the principles of distributed source coding (DSC), a technology that has applications in sensor networks, ad-hoc networks, and distributed wireless video systems for surveillance
*Edited and written by the leading players in the field, providing a complete and authoritative reference
*Contains all the latest theory, practical algorithms for DSC design and the most recently developed applications

Audience
Signal and image processing researchers, R&D engineers, systems designers and implementers and graduate students.              

目录
Contents


Theory:
1. Foundations of Distributed Source Coding

2. Distributed transform coding

3. Quantization for Distributed Source Coding  

4. Zero-error Distributed Source Coding

5. Distributed Coding of Sparse Signals

Algorithms and Applications:
1. Towards constructive Slepian-Wolf coding schemes

2. Distributed Compression in Microphone Array

3. Distributed Video Coding: Basics, Codecs and Performance

4. Model Based Multi-view Video Compression using Distributed Source Coding Principles

5. Distributed Compression of Hyperspectral Imagery

6. Securing Biometric Data

njbbx

好书，不过做这个方向的人可能国内不是很多，对于做WSN的人来说很有用

humann

3ks3ks

jiaxiangg

thanks a lots

weimid

好。。。。。。。。。。。。

ivan0825

好書
多謝分享

rayengine

Thanks.

lan9jian

研究复杂网络应该很有用 谢

buaamit

很新的书啊，dsc好像最近挺火的

cjchang1

Thanks a lot !!!!!!!!!!!!!!!!!!!!!!!!!