Information Theory: Coding Theorems for Discrete Memoryless Systems presents mathematical models that involve independent random variables with finite range. This three-chapter text specifically describes the characteristic phenomena of information theory. Chapter 1 deals with information measures in simple coding problems, with emphasis on some formal properties of Shannon’s information and the non-block source coding. Chapter 2 describes the properties and practical aspects of the two-terminal systems. This chapter also examines the noisy channel coding problem, the computation of channel capacity, and the arbitrarily varying channels. Chapter 3 looks into the theory and practicality of multi-terminal systems. This book is intended primarily for graduate students and research workers in mathematics, electrical engineering, and computer science.
MACKAY , D. J. C. , and NEAL , R. M. ( 1995 ) Good codes based for blind source separation . In ICA : Principles and Practice , ed . by S. Roberts and R. Everson . Cambridge Univ . Press . on very sparse matrices .
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.
Barnum, H., Caves, C. M., Fuchs, C. A., Jozsa, R. & Schumacher, B. (2001), 'On quantum coding for ensembles of mixed states', Journal of Physics A: ... Bell, J. S. (1964), 'On the Einstein–Podolsky–Rosen paradox', Physics 1, 195– 200.
This book is devoted to the theory of probabilistic information measures and their application to coding theorems for information sources and noisy channels.
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.
Information Theory
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...
Langdon, G.G., 396 Lapidoth, A., xv lATEX, xvi lattice theory, 124 Lauritzen, S.L., 396 laws of information theory, xiii, 264,321, 325 leaf, 46.46–57 Lebesgue measure, 278, 305 Lee, J.Y.-B., xvi Lee, T.T., 147, 401 Leibler, R.A., 39, ...
From the reviews: "This book nicely complements the existing literature on information and coding theory by concentrating on arbitrary nonstationary and/or nonergodic sources and channels with arbitrarily large alphabets.
The Second Edition features: Chapters reorganized to improve teaching 200 new problems New material on source coding, portfolio theory, and feedback capacity Updated references Now current and enhanced, the Second Edition of Elements of ...