Distributed Source Coding

Shuang Wang , Yong Fang , Samuel Cheng 지음

Wiley 2017년 01월 05일 출간

작품소개

책소개

이 책은 과학/기술분야 외국도서입니다.

목차

Preface xiii Acknowledgment xv About the Companion Website xvii 1 Introduction 1 1.1 What is Distributed Source Coding? 2 1.2 Historical Overview and Background 2 1.3 Potential and Applications 3 1.4 Outline 4 Part I Theory of Distributed Source Coding 7 2 Lossless Compression of Correlated Sources 9 2.1 Slepian Wolf Coding 10 2.1.1 Proof of the SWTheorem 15 Achievability of the SWTheorem 16 Converse of the SWTheorem 19 2.2 Asymmetric and Symmetric SWCoding 21 2.3 SWCoding of Multiple Sources 22 3 Wyner Ziv Coding Theory 25 3.1 Forward Proof ofWZ Coding 27 3.2 Converse Proof of WZ Coding 29 3.3 Examples 30 3.3.1 Doubly Symmetric Binary Source 30 Problem Setup 30 A Proposed Scheme 31 Verify the Optimality of the Proposed Scheme 32 3.3.2 Quadratic Gaussian Source 35 Problem Setup 35 Proposed Scheme 36 Verify the Optimality of the Proposed Scheme 37 3.4 Rate Loss of theWZ Problem 38 Binary Source Case 39 Rate loss of General Cases 39 4 Lossy Distributed Source Coding 41 4.1 Berger Tung Inner Bound 42 4.1.1 Berger Tung Scheme 42 Codebook Preparation 42 Encoding 42 Decoding 43 4.1.2 Distortion Analysis 43 4.2 Indirect Multiterminal Source Coding 45 4.2.1 Quadratic Gaussian CEO Problem with Two Encoders 45 Forward Proof of Quadratic Gaussian CEO Problem with Two Terminals 46 Converse Proof of Quadratic Gaussian CEO Problem with Two Terminals 48 4.3 Direct Multiterminal Source Coding 54 4.3.1 Forward Proof of Gaussian Multiterminal Source Coding Problem with Two Sources 55 4.3.2 Converse Proof of Gaussian Multiterminal Source Coding Problem with Two Sources 63 Bounds for R1 and R2 64 Collaborative Lower Bound 66

작가정보

저자(글) Shuang Wang

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, machinelearning, 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, ChinaYong 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

저자(글) Yong Fang

저자(글) Samuel Cheng