Elements of Information Theory, The Second Edition Thomas M. Cover is a renowned textbook for advanced students and professionals who delve into information theory. It provides a comprehensive and clear treatment of core topics such as entropy, data compression, and channel capacity.
Description
This second edition has been updated with new problem sets and additional topics such as source coding, portfolio theory, and feedback capacity. The textbook answers fundamental questions in information theory using mathematics, physics, statistics, and information theory. Each chapter includes exercises, a summary, and historical notes that bring theory and applications together.
The second edition is characterized by a clear reorganization of the chapters and expanded content, making it ideal for high-quality education in electrical engineering, statistics, and telecommunications.
Product details
- Author: Thomas M. Cover (Stanford University, California)
- Publisher: John Wiley & Sons Inc
- Imprint: Wiley-Interscience
- Publication date: 2006-09-08
- Number of pages: 784
- ISBN: 9780471241959
- Theme: Information theory
- BISAC: LANGUAGE ARTS & DISCIPLINES / Library & Information Science / General
About the author
THOMAS M. COVER, PHD, is a professor of electrical engineering and statistics at Stanford University. He has received various awards, including the IEEE Claude E. Shannon Award, and is a member of several scientific academies. Dr. Cover has more than one hundred scientific publications to his name and is co-editor of Open Problems in Communication and Computation.