Elements of Information Theory
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Elements of Information Theory, Second Edition, covers the standard topics of information theory, such as entropy, data compression, channel capacity, rate distortion, multi-user theory and hypothesis testing. It presents applications to communications, statistics, complexity theory, and investment. Chapters 1-9 cover the asymptotic equipartition property, data compression, and channel capacity culminating in the capacity of the Gaussian channel. Chapters 10-17 include rate distortion, the method of types, Kolmogorov complexity, network information theory, universal source coding, and portfolio theory.The first edition of this book is the most successful book on information theory on the market today. Adoptions have remained strong since the book's publication in 1991.
The latest edition of this classic is updated with new problem setsand material
The Second Edition of this fundamental textbook maintains thebook s tradition of clear, thought-provoking instruction. Readersare provided once again with an instructive mix of mathematics,physics, statistics, and information theory.
All the essential topics in information theory are covered indetail, including entropy, data compression, channel capacity, ratedistortion, network information theory, and hypothesis testing. Theauthors provide readers with a solid understanding of theunderlying theory and applications. Problem sets and a telegraphicsummary at the end of each chapter further assist readers. Thehistorical notes that follow each chapter recap the mainpoints.
The Second Edition features:
Chapters reorganized to improve teaching
200 new problems
New material on source coding, portfolio theory, and feedbackcapacity
Updated references
Now current and enhanced, the Second Edition of Elements ofInformation Theory remains the ideal textbook for upper-levelundergraduate and graduate courses in electrical engineering,statistics, and telecommunications.
An Instructor s Manual presenting detailed solutions to all theproblems in the book is available from the Wiley editorialdepartment.
The Second Edition of this fundamental textbook maintains thebook s tradition of clear, thought-provoking instruction. Readersare provided once again with an instructive mix of mathematics,physics, statistics, and information theory.
All the essential topics in information theory are covered indetail, including entropy, data compression, channel capacity, ratedistortion, network information theory, and hypothesis testing. Theauthors provide readers with a solid understanding of theunderlying theory and applications. Problem sets and a telegraphicsummary at the end of each chapter further assist readers. Thehistorical notes that follow each chapter recap the mainpoints.
The Second Edition features:
Chapters reorganized to improve teaching
200 new problems
New material on source coding, portfolio theory, and feedbackcapacity
Updated references
Now current and enhanced, the Second Edition of Elements ofInformation Theory remains the ideal textbook for upper-levelundergraduate and graduate courses in electrical engineering,statistics, and telecommunications.
An Instructor s Manual presenting detailed solutions to all theproblems in the book is available from the Wiley editorialdepartment.
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