Distributed Source Coding (Hardcover). Dieser Artikel ist nicht verfügbar.Distributed Source Coding (Hardcover)

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.

Shuang Wang, Department of Biomedical Informatics, University of California San Diego, CA, USA
Shuang Wang received the B.S. degree in applied physics and the M.S. degree in biomedical engineering from the Dalian University of Technology, China, and the Ph.D. degree in electrical and computer engineering from the University of Oklahoma, OK, USA, in 2012. He was worked as a postdoc researcher with the Department of Biomedical Informatics (DBMI), University of California, San Diego (UCSD), CA, USA, 2012 - 2015. Currently, he is an assistant professor at the DBMI, UCSD. His research interests include source/channel coding, machine
learning, and healthcare data privacy/security. He has published more than 50 journal/conference papers and 2 book chapters. He was awarded a National Human Genome Research Institute (NGHRI) K99/R00 career grant. Dr. Wang is a senior member of Institute of Electrical and Electronics Engineers (IEEE) and a member of American Medical Informatics Association (AMIA).
 
Yong Fang, Northwest A&F University, Shaanxi, China
Yong Fang received his BEng, MEng, and PhD from Xidian University, Xi'an China, in 2000, 2003, and 2005, respectively, all in signal processing. Then, he was a post-doctoral fellow for one year with Northwestern Polytechnical University, Xi'an China. From 2007 to 2008, he joined Hanyang University, Seoul Korea, as a research professor. He is currently a full professor with Northwest A&F University, Shaanxi Yangling, China. He had long experiences in hardware system development, e.g., FPGA-based (Xilinx Vertex series) video codec design, DSP-based (TI C64 series) video surveilliance system, etc. His research interests include distributed source coding, joint source-channel coding, network information theory, and image/video coding, processing, and transmission.
 
Samuel Cheng, University of Oklahoma, USA
Samuel Cheng received a B.S. degree in Electrical and Electronic Engineering from the University of Hong Kong, and an M.Phil. degree in Physics and the M.S. degree in Electrical Engineering from Hong Kong University of Science and Technology and the University of Hawaii, Honolulu, respectively. He received a Ph.D. degree in Electrical Engineering from Texas A&M University in 2004. In 2004, he joined Advanced Digital Imaging Research; a research company based near Houston, Texas, as a Research Engineer to perform biomedical imaging research and was promoted to Senior Research Engineer the following year. He joined the School of Electrical and Computer Engineering at the University of Oklahoma in 2006 and is currently an Associate Professor. Cheng has been awarded six US patents in miscellaneous areas of signal processing. He is a senior member of IEEE and a member of ACM.