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:
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.
The authors introduce the basic quantities of entropy, relative entropy, and mutual information and show how they arise as natural answers to questions of data compression, channel capacity, rate distortion, hypothesis testing, information flow in networks, and gambling. Accessible to students of communication theory, computer science, and statistics. Annotation c. Book News, Inc., Portland, OR (booknews.com)