Distributed Source Coding
eBook - ePub

Distributed Source Coding

Theory and Practice

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Distributed Source Coding

Theory and Practice

About this book

Distributed source coding is one of the key enablers for efficient cooperative communication. The potential applications range from wireless sensor networks, ad-hoc networks, and surveillance networks, to robust low-complexity video coding, stereo/Multiview video coding, HDTV, hyper-spectral and multispectral imaging, and biometrics.

The book is divided into three sections: theory, algorithms, and applications. Part one covers the background of information theory with an emphasis on DSC; part two discusses designs of algorithmic solutions for DSC problems, covering the three most important DSC problems: Slepian-Wolf, Wyner-Ziv, and MT source coding; and part three is dedicated to a variety of potential DSC applications.

Key features:

  • Clear explanation of distributed source coding theory and algorithms including both lossless and lossy designs.
  • Rich applications of distributed source coding, which covers multimedia communication and data security applications.
  • Self-contained content for beginners from basic information theory to practical code implementation.

The book provides fundamental knowledge for engineers and computer scientists to access the topic of distributed source coding. It is also suitable for senior undergraduate and first year graduate students in electrical engineering; computer engineering; signal processing; image/video processing; and information theory and communications.

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Yes, you can access Distributed Source Coding by Shuang Wang,Yong Fang,Samuel Cheng in PDF and/or ePUB format, as well as other popular books in Physical Sciences & Waves & Wave Mechanics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Wiley
Year
2017
Print ISBN
9780470688991
eBook ISBN
9781118705988

Table of contents

  1. Cover
  2. Title Page
  3. Copyright
  4. Table of Contents
  5. Preface
  6. Acknowledgment
  7. About the Companion Website
  8. Chapter 1: Introduction
  9. Part I: Theory of Distributed Source Coding
  10. Part II: Implementation
  11. Part III: Applications
  12. Appendix A: Basic Information Theory
  13. Appendix B: Background on Channel Coding
  14. Appendix C: Approximate Inference
  15. Appendix D: Multivariate Gaussian Distribution
  16. Bibliography
  17. Index
  18. End User License Agreement