Elements of Information Theory 2nd edition

Suitable for use in advanced undergraduate and graduate courses in electrical engineering, statistics, and telecommunications, this textbook covers the basics of information theory. Topics include (for example) entropy, data compression, channel capacity, rate distortion, network information theory, and hypothesis testing. The second edition features new material on source coding, portfolio theory, and feedback capacity, as well as 200 new problems. Cover teaches electrical engineering and statistics at Stanford U., and Thomas is affiliated with the IBM T.J. Watson Research Center. Annotation ©2006 Book News, Inc., Portland, OR (booknews.com)
The latest edition of this classic is updated with new problem sets and material The Second Edition of this fundamental textbook maintains the book's tradition of clear, thought-provoking instruction. Readers are provided once again with an instructive mix of mathematics, physics, statistics, and information theory. All the essential topics in information theory are covered in detail, including entropy, data compression, channel capacity, rate distortion, network information theory, and hypothesis testing. The authors provide readers with a solid understanding of the underlying theory and applications. Problem sets and a telegraphic summary at the end of each chapter further assist readers. The historical notes that follow each chapter recap the main points. The Second Edition features: * Chapters reorganized to improve teaching * 200 new problems * New material on source coding, portfolio theory, and feedback capacity * Updated references Now current and enhanced, the Second Edition of Elements of Information Theory remains the ideal textbook for upper-level undergraduate and graduate courses in electrical engineering, statistics, and telecommunications. An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.