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.

THOMAS M. COVER

Joy A. Thomas

Wiley-Interscience

Entropy, relative entropy and mutual information, the asymptotic equipartition property, entropy rates of a stochastic process, data compression, gambling and data compression, kolmogorov complexity, channel capacity, differential entropy, the gaussian channel, maximum entropy and spectral estimation, information theory and statistics, rate distortion theory, network information theory, information theory and the stock market, inequalities in information theory.

Computers & Technology

Computer Science

wiley

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Books by THOMAS M. COVER

See the best price to sell, buy, or rent books by THOMAS M. COVER. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Elements of Information Theory

Elements of Information Theory

Elements of Information Theory