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 topics: information theory of discrete systems; properties of continuous signals; ergodic ensembles and random noise; entropy of continuous distributions; the transmission of information in band-limited systems having a continuous range of values; an introduction to the use of signal space; information theory aspects of modulation and noise reduction; and linear correlation, filtering, and prediction. Numerous problems appear throughout the text, many with complete solutions. 1953 ed.
Here's a sample of other books in this Dover category
Science and Information Theory, Second Edition by Leon Brillouin Exploring the connections between information theory and physics, this text applies the principles of information theory to a variety of issues, including Maxwell's demon, thermodynamics, and measurement problems. 81 figures. 14 tables.
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.
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.
