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.
