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.
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