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An Introduction to Information Theory Complete solutions to the problems

An Introduction to Information Theory Complete solutions to the problemsWritten for an engineering audience, this book has a threefold purpose: (1) to present elements of modern probability theory discrete, continuous, and stochastic; (2) to present elements of information theory with emphasis on its basic roots in probability theory; and (3) to present elements of coding theory. The emphasis throughout the book is on such basic concepts as sets, the probability measure associated with sets, sample space, random

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Complete solutions to the problems appear at the end of the text

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Reprint of the University of British Columbia Press

Ranked among the all-time "Top 100 Chapter Books" in a School Library Journal survey

An Introduction to Information Theory Complete solutions to the problemsWritten for an engineering audience, this book has a threefold purpose: (1) to present elements of modern probability theory discrete, continuous, and stochastic; (2) to present elements of information theory with emphasis on its basic roots in probability theory; and (3) to present elements of coding theory. The emphasis throughout the book is on such basic concepts as sets, the probability measure associated with sets, sample space, random

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