Elements of information theory / Thomas M. Cover, Joy A. Thomas

Auteur: Cover, Thomas M. (1938-2012) - AuteurCo-auteur: Thomas, Joy A. - AuteurType de document: MonographieLangue: anglaisPays: Etats UnisÉditeur: Hoboken : John Wiley & Sons, 2006Edition: 2nd editionDescription: 1 vol. (xxiii-748 p.) : ill., couv. ill. en coul. ; 24 cm ISBN: 0471241954 ; rel. Note: The second edition of the book contains the following 17 chapters: Introduction and preview; Entropy, Relative entropy, and Mutual information; Asymptotic equipartition property; Entropy rates of a stochastic process; Data compression; Gambling and data compression; Channel capacity; Differential entropy; Gaussian channel; Rate distortion theory; Information theory and statistics; Maximum entropy; Universal source coding; Kolmogorov complexity; Network information theory; Information theory and portfolio theory; and inequalities in information theory. The book may be used for a two-quarter graduate course. The mathematical level is reasonably high but does not require the knowledge of measure theory. At least a good one semester course in probability theory is needed to follow the book. The book is nicely written with lots of applications, examples and unsolved problems and is highly recommended to those who want to study information theory. (Zentralblatt)Bibliographie: Bibliogr. p. 689-721. Index. Sujets MSC: 94-01 Information and communication, circuits -- Instructional exposition (textbooks, tutorial papers, etc.)
94A15 Information and communication, circuits -- Communication, information -- Information theory, general
94A17 Information and communication, circuits -- Communication, information -- Measures of information, entropy
62B10 Statistics -- Sufficiency and information -- Information-theoretic topics
94A34 Information and communication, circuits -- Communication, information -- Rate-distortion theory
Location Call Number Status Date Due
Salle R 03942-01 / 94 COV (Browse Shelf) Available

The second edition of the book contains the following 17 chapters: Introduction and preview; Entropy, Relative entropy, and Mutual information; Asymptotic equipartition property; Entropy rates of a stochastic process; Data compression; Gambling and data compression; Channel capacity; Differential entropy; Gaussian channel; Rate distortion theory; Information theory and statistics; Maximum entropy; Universal source coding; Kolmogorov complexity; Network information theory; Information theory and portfolio theory; and inequalities in information theory. The book may be used for a two-quarter graduate course. The mathematical level is reasonably high but does not require the knowledge of measure theory. At least a good one semester course in probability theory is needed to follow the book. The book is nicely written with lots of applications, examples and unsolved problems and is highly recommended to those who want to study information theory. (Zentralblatt)

Bibliogr. p. 689-721. Index

There are no comments for this item.

Log in to your account to post a comment.
Languages: English | Français | |