Synopsis
Graduate-level study for engineering students presents elements of modern probability theory, elements of information theory with emphasis on its basic roots in probability theory and elements of coding theory. Emphasis is on such basic concepts as sets, sample space, random variables, information measure, and capacity. Many reference tables and extensive bibliography. 1961 edition.
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From the Back Cover
Written 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 variables, information measure, and capacity. These concepts proceed from set theory to probability theory and then to information and coding theories. No formal prerequisites are required other than the usual undergraduate mathematics included in an engineering or science program. However, since these programs may not include a course in probability, the author presents an introductory treatment of probability for those who wish to pursue the general study of statistical theory of communications.
The book is divided into four parts: memoryless discrete themes, memoryless continuum, schemes with memory, and an outline of some recent developments. An appendix contains notes to help familiarize the reader with the literature in the field, while the inclusion of many reference tables and an extensive bibliography with some 200 entries makes this an excellent resource for any student in the field.
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An Introduction to Information Theory
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Dover Publications, Incorporated, 2010
ISBN 10: 0486682102
ISBN 13: 9780486682105
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An Introduction to Information Theory
Published by
Dover Publications, Incorporated, 2010
ISBN 10: 0486682102
ISBN 13: 9780486682105
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An Introduction to Information Theory (Dover Books on Mathematics)
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ISBN 10: 0486682102
ISBN 13: 9780486682105
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