Distributed Source Coding: Theory and Practice - Hardcover

Wang, Shuang; Fang, Yong; Cheng, Samuel

Hardcover

ISBN 10: 0470688998 ISBN 13: 9780470688991

Publisher: Wiley, 2017

Synopsis

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.

About this title

About the Author

SHUANG WANG, University of California, San Diego, USA

YONG FANG, Northwest A&F University, China

SAMUEL CHENG, University of Oklahoma, USA

From the Back Cover

Understanding distributed source coding from theory to practice

Distributed source coding is one of the key enablers for ef cient 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 I covers the background of information theory with an emphasis on distributed source coding, Part II discusses designs of algorithmic solutions for distributed source coding problems, covering the three most important distributed source coding problems (Slepian Wolf, Wyner Ziv, and MT source coding), and Part III is dedicated to a variety of potential distributed source coding 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 rst-year graduate students in electrical engineering, computer engineering, signal processing, image/video processing, and information theory and communications.

From the Inside Flap

Understanding distributed source coding from theory to practice

Distributed source coding is one of the key enablers for ef cient 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 I covers the background of information theory with an emphasis on distributed source coding, Part II discusses designs of algorithmic solutions for distributed source coding problems, covering the three most important distributed source coding problems (Slepian–Wolf, Wyner–Ziv, and MT source coding), and Part III is dedicated to a variety of potential distributed source coding 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 rst-year graduate students in electrical engineering, computer engineering, signal processing, image/video processing, and information theory and communications.

Edition details

• Publisher: Wiley
• Publication date: 2017
• Language: English
• ISBN 10: 0470688998
• ISBN 13: 9780470688991
• Binding: Hardcover
• Edition number: 1
• Number of pages: 384