Elements of Information Theory Book Summary

Dive into the foundational principles of communication and data processing with 'Elements of Information Theory.' This enlightening text reveals how information quantifies uncertainty and shapes our understanding of data transmission. Cover and Thomas expertly blend theory with practical applications, leaving readers eager to explore concepts like entropy, channel capacity, and coding. With its clear explanations and engaging insights, this book is a captivating journey through the landscape of information science. Whether you're a novice or an expert, discover the hidden intricacies that define how we share knowledge in the digital age.

By Thomas M. Cover, Joy A. Thomas

Published: 2006

"Information is the resolution of uncertainty."

Book Review of Elements of Information Theory

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.

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Information is the resolution of uncertainty.

Elements of Information Theory

By Thomas M. Cover, Joy A. Thomas