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.
Written in an informal style, with a comprehensive glossary and tutorial appendices, this text is an ideal primer for novices who wish to learn the essential principles and applications of information theory.
An effective blend of carefully explained theory and practical applications, this text imparts the fundamentals of both information theory and data compression.
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 .
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 ...
... New York, 1995) C.M. Bishop, Pattern Recognition and Machine Learning (Springer, Berlin, 2006) R.E. Blahut, Computation of channel capacity and rate-distortion functions. IEEE Trans. Inf. Theory 18(4), 460–473 (1972) R.E. Blahut, ...
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.
Introduction to Information Theory
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, ...
This book is intended to introduce coding theory and information theory to undergraduate students of mathematics and computer science.
This book is ideal for use in the classroom, for self-study, and as a reference for researchers and engineers in industry and academia.