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Elements of Information Theory
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Author(s):
Thomas M. Cover
,
Joy A. Thomas
Publication date
(Online):
April 07 2005
Publisher:
John Wiley & Sons, Inc.
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Author and book information
Book
ISBN (Electronic):
9780471748823
ISBN (Print):
9780471241959
Publication date (Print):
September 16 2005
Publication date (Online):
April 07 2005
DOI:
10.1002/047174882X
SO-VID:
5caf59f5-6205-4862-8e17-b9e926e0734f
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Book chapters
pp. i
Frontmatter
pp. 1
Introduction and Preview
pp. 13
Entropy, Relative Entropy, and Mutual Information
pp. 57
Asymptotic Equipartition Property
pp. 71
Entropy Rates of a Stochastic Process
pp. 103
Data Compression
pp. 159
Gambling and Data Compression
pp. 183
Channel Capacity
pp. 243
Differential Entropy
pp. 261
Gaussian Channel
pp. 301
Rate Distortion Theory
pp. 347
Information Theory and Statistics
pp. 409
Maximum Entropy
pp. 427
Universal Source Coding
pp. 463
Kolmogorov Complexity
pp. 509
Network Information Theory
pp. 613
Information Theory and Portfolio Theory
pp. 657
Inequalities in Information Theory
pp. 689
Bibliography
pp. 723
List of Symbols
pp. 727
Index
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