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Bestseller
BestsellerE-book
Author Csiszár, Imre, 1938-

Title Information theory : coding theorems for discrete memoryless systems / Imre Csiszár, János Körner.

Publication Info. Cambridge ; New York : Cambridge University Press, 2011.

Item Status

Edition 2nd ed.
Description 1 online resource (xxi, 499 pages) : illustrations
data file
Physical Medium polychrome
Bibliography Includes bibliographical references (pages 461-477) and indexes.
Contents Cover; Information Theory; Title; Copyright; Contents; Preface to the first edition; Preface to the second edition; Basic notation and conventions; Preliminaries on random variables and probability distributions; Introduction; Intuitive background; Informal description of the basic mathematical model; Measuring information; Multi-terminal systems; Part I Information measures in simple coding problems; 1 Source coding and hypothesis testing; information measures; Discussion; Problems; Postulational characterizations of entropy (Problems 1.11-1.14); Story of the results.
2 Types and typical sequencesDiscussion; Problems; Story of the results; 3 Formal properties of Shannon's information measures; Problems; Properties of informational divergence (Problems 3.17-3.20); Structural results on entropy (Problems 3.21-3.22); Story of the results; 4 Non-block source coding; Problems; General noiseless channels (Problems 4.20-4.22); Universal variable-length codes (Problems 4.23-4.26); Story of the results; 5 Blowing up lemma: a combinatorial digression; Problems; Story of the results; Part II Two-terminal systems; 6 The noisy channel coding problem; Discussion.
ProblemsComparison of channels (Problems 6.16-6.18); Zero-error capacity and graphs (Problems 6.23-6.25); Story of the results; 7 Rate-distortion trade-off in source coding and the source-channel transmission problem; Discussion; Problems; Story of the results; 8 Computation of channel capacity and?-distortion rates; Problems; Story of the results; 9 A covering lemma and the error exponent in source coding; Problems; Graph entropy and convex corners; Story of the results; 10 A packing lemma and the error exponent in channel coding; Discussion; Problems; Compound DMCs (Problems 10.12-10.14).
Reliability at R = 0 (Problems 10.20-10.23)Story of the results; 11 The compound channel revisited: zero-error information theory and extremal combinatorics; Discussion; Problems; Story of the results; 12 Arbitrarily varying channels; Discussion; Problems; Story of the results; Part III Multi-terminal systems; 13 Separate coding of correlated sources; Discussion; Problems; Story of the results; 14 Multiple-access channels; Discussion; Problems; Reduction of channel network problems (Problems 14.22-14.24); Story of the results; 15 Entropy and image size characterization; Discussion; Problems.
Image size of arbitrary sets (Problems 15.4-15.5)More-than-three-component sources (Problems 15.16-15.21); Story of the results; 16 Source and channel networks; Discussion; Problems; Broadcast channels (Problems 16.8-16.12); Source networks with three inputs and one helper (Problems 16.13-16.18); Source networks with two helpers; General fidelity criteria (Problems 16.22-16.24); Common information (Problems 16.27-16.30); Miscellaneous source networks (Problems 16.31-16.33); Story of the results; 17 Information-theoretic security; 17.1 Basic concepts and tools.
Summary Fully updated and revised edition of Csiszár and Körner's classic book on information theory.
Local Note eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America
Subject Coding theory.
Coding theory.
Genre/Form Electronic books.
Textbooks.
Electronic book.
Electronic books.
Added Author Körner, János.
Other Form: Print version: Csiszár, Imre, 1938- Information theory. 2nd ed. Cambridge ; New York : Cambridge University Press, 2011 9780521196819 (DLC) 2011293266 (OCoLC)668195770
ISBN 9781139190145 (electronic book)
1139190148 (electronic book)
1139185241 (electronic book)
9781139185240 (electronic book)
9780511921889 (electronic book)
0511921888 (electronic book)
9781139187558
1139187554
9780521196819
0521196817