A classic source for understanding the connections between information theory and physics, this text was written by one of the giants of 20th-century physics. Topics include the principles of coding, coding problems and solutions, the analysis of signals, a summary of thermodynamics, thermal agitation and Brownian motion, plus an examination of Maxwell's demon. 81 figures. 14 tables. Unabridged republication of the edition published by Academic Press, Inc., New York, 1962.
Information 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. 1968 2nd, revised edition.
Information 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.
An Introduction to Information Theory 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.
Stochastic Processes and Filtering Theory by Andrew H. Jazwinski This unified treatment presents material previously available only in journals, and in terms accessible to engineering students. Although theory is emphasized, it discusses numerous practical applications as well. 1970 edition.
Information Theory by Stanford Goldman Students of electrical engineering or applied mathematics can find no clearer presentation of the principles of information theory than this excellent introduction. After explaining the nature of information theory and its problems, the author examines a variety of important ...
