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An Introduction to Information Theory: Symbols, Signals and NoiseAn Introduction to Information Theory: Symbols, Signals and Noise 
by John R. Pierce
Covers encoding and binary digits, entropy, language and meaning, efficient encoding and the noisy channel, and explores ways in which information theory relates to physics, cybernetics, psychology, and art. 1980 edition.
Information TheoryInformation Theory 
by Robert B. Ash
Analysis of channel models and proof of coding theorems; study of specific coding systems; and study of statistical properties of information sources. Sixty problems, with solutions. Advanced undergraduate to graduate level.

Information Theory and StatisticsInformation Theory and Statistics 
by Solomon Kullback
Highly useful text studies logarithmic measures of information and their application to testing statistical hypotheses. Includes numerous worked examples and problems. References. Glossary. Appendix.
Mathematical Foundations of Information TheoryMathematical Foundations of Information Theory 
by A. Ya. Khinchin
First comprehensive introduction to information theory explores the work of Shannon, McMillan, Feinstein, and Khinchin. Topics include the entropy concept in probability theory, fundamental theorems, and other subjects. 1957 edition.

Products in Information Theory

Information TheoryInformation Theory
by Robert B. Ash
 Analysis of channel models and proof of coding theorems; study of specific coding systems; and study of statistical properties of information sources. Sixty problems, with solutions. Advanced undergraduate to graduate level.


Our Price: $16.95

Information Theory and StatisticsInformation Theory and Statistics
by Solomon Kullback
 Highly useful text studies logarithmic measures of information and their application to testing statistical hypotheses. Includes numerous worked examples and problems. References. Glossary. Appendix.

Our Price: $22.95

An Introduction to Information TheoryAn Introduction to Information Theory
by Fazlollah M. Reza
 Graduate-level study for engineering students presents elements of modern probability theory, information theory, coding theory, more. Emphasis on sample space, random variables, capacity, etc. Many reference tables and extensive bibliography. 1961 edition.

Our Price: $22.95

An Introduction to Information Theory: Symbols, Signals and NoiseAn Introduction to Information Theory: Symbols, Signals and Noise
by John R. Pierce
 Covers encoding and binary digits, entropy, language and meaning, efficient encoding and the noisy channel, and explores ways in which information theory relates to physics, cybernetics, psychology, and art. 1980 edition.

Our Price: $14.95

Mathematical Foundations of Information TheoryMathematical Foundations of Information Theory
by A. Ya. Khinchin
 First comprehensive introduction to information theory explores the work of Shannon, McMillan, Feinstein, and Khinchin. Topics include the entropy concept in probability theory, fundamental theorems, and other subjects. 1957 edition.

Our Price: $10.95