Information Theory and Rate Distortion Theory for Communications and Compression

Preface.- Communications, Compression and Fundamental Limits.- Entropy and Mutual Information.- Lossless Source Coding.- Channel Capacity.- Rate Distortion Theory and Lossy Source Coding.- Bibliography.- Author's Biography.

Jerry Gibson is Professor of Electrical and Computer Engineering at the University of California, Santa Barbara. He has been an Associate Editor of the IEEE Transactions on Communications and the IEEE Transactions on Information Theory. He was President of the IEEE Information Theory Society in 1996, and he has served on the Board of Governors of the IT Society and the Communications Society. He was an IEEE Communications Society Distinguished Lecturer for 2007-2008. He is an IEEE Fellow, and he has received The Fredrick Emmons Terman Award (1990), the 1993 IEEE Signal Processing Society Senior Paper Award, the 2009 IEEE Technical Committee on Wireless Communications Recognition Award, and the 2010 Best Paper Award from the IEEE Transactions on Multimedia. He is co-author of the books Digital Compression for Multimedia (Morgan-Kaufmann, 1998) and Introduction to Nonparametric Detection with Applications (Academic Press, 1975 and IEEE Press, 1995) and author of the textbook, Principles of Digital and Analog Communications (Prentice-Hall, second ed., 1993). He is Editor-in-Chief of The Mobile Communications Handbook (CRC Press, 3rd ed., 2012), Editor-in-Chief of The Communications Handbook (CRC Press, 2nd ed., 2002), and Editor of the book, Multimedia Communications: Directions and Innovations (Academic Press, 2000).