Distributed Source Coding (eBook)

Theory and Practice

Shuang Wang, Yong Fang, Samuel Cheng (Autoren)

eBook Download: EPUB

2017
John Wiley & Sons (Verlag)
978-1-118-70598-8 (ISBN)

Infos

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.

Autor

SHUANG WANG, University of California, San Diego, USA YONG FANG, Northwest A&F University, China SAMUEL CHENG, University of Oklahoma, USA

Produkt-Details

• Erscheint lt. Verlag: 5.1.2017
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik ► Theorie / Studium
• Themenwelt: Naturwissenschaften ► Physik / Astronomie ► Mechanik
• Themenwelt: Technik ► Elektrotechnik / Energietechnik
• Themenwelt: Technik ► Nachrichtentechnik
• Schlagworte: Channel coding/ Source coding • Communication technology • Computer Science • Distributed source coding • distributed video coding • Drahtlose Kommunikation • Electrical & Electronics Engineering • Elektrotechnik u. Elektronik • Informatik • Informationstechnologie • Information Technologies • Information Theory • Kommunikationstechnik • LDPC codes/Arithmetic codes • Network and Communication • Secure biometric • Signal Processing • Signalverarbeitung • Slepian-Wolf Coding • Wyner-Ziv Coding
• ISBN-10: 1-118-70598-X / 111870598X
• ISBN-13: 978-1-118-70598-8 / 9781118705988