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Elements of Information Theory

Couverture
20 Avis
John Wiley & Sons, 11 juil. 2006 - 776 pages
The latest edition of this classic is updated with new problem sets and material

The Second Edition of this fundamental textbook maintains the book's tradition of clear, thought-provoking instruction. Readers are provided once again with an instructive mix of mathematics, physics, statistics, and information theory.

All the essential topics in information theory are covered in detail, including entropy, data compression, channel capacity, rate distortion, network information theory, and hypothesis testing. The authors provide readers with a solid understanding of the underlying theory and applications. Problem sets and a telegraphic summary at the end of each chapter further assist readers. The historical notes that follow each chapter recap the main points.

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 Information Theory remains the ideal textbook for upper-level undergraduate and graduate courses in electrical engineering, statistics, and telecommunications.

An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.

  

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Review: Elements of Information Theory

Avis d'utilisateur  - Jason Yang - Goodreads

Cover and Thomas is THE classic information theory textbook. Here, the authors took on the ambitious task of making a comprehensive survey of (the still evolving) information theory. Admittedly, I got ... Consulter l'avis complet

Review: Elements of Information Theory

Avis d'utilisateur  - Huyen - Goodreads

Pure gold. A classic in Information Theory. Consulter l'avis complet

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Pages sélectionnées

Table des matières

1 Introduction and Preview
1
2 Entropy Relative Entropy and Mutual Information
13
3 Asymptotic Equipartition Property
57
4 Entropy Rates of a Stochastic Process
71
5 Data Compression
103
6 Gambling and Data Compression
159
7 Channel Capacity
183
8 Differential Entropy
243
12 Maximum Entropy
409
13 Universal Source Coding
427
14 Kolmogorov Complexity
463
15 Network Information Theory
509
16 Information Theory and Portfolio Theory
613
17 Inequalities in Information Theory
657
Bibliography
689
List of Symbols
723

9 Gaussian Channel
261
10 Rate Distortion Theory
301
11 Information Theory and Statistics
347
Index
727
Droits d'auteur

Expressions et termes fréquents

achievable algorithm alphabet asymptotic average binary symmetric channel bits broadcast channel calculate capacity region channel capacity codebook codeword lengths coding theorem conditional Consider convex corresponding data compression defined Definition denote density describe differential entropy discrete memoryless encoding entropy rate equal ergodic estimate example feedback Figure Find first Fisher information Gaussian channel given growth rate Hence Huffman code IEEE Trans independent information theory input joint distribution jointly typical Kolmogorov complexity Kraft inequality large numbers Lemma Let X1 log-optimal portfolio lower bound Markov chain matrix maximizing maximum entropy minimization multiple-access channel mutual information node noise optimal code output probability mass function probability of error problem proof prove random variable rate distortion function receiver relative entropy satisfying sender Shannon side information source coding stochastic process string symbols T. M. Cover typical set uniquely decodable vector wealth

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Références issues de pages Web

Elements of Information Theory
Now current and enhanced, the Second Edition of Elements of Information Theory remains the ideal textbook for upper-level undergraduate and graduate courses ...
www.elementsofinformationtheory.com/

JSTOR: Elements of Information Theory.
Although Elements of Information Theory does a good and sometimes admirable job of treat- ing each topic that it takes up, the book could have been improved ...
links.jstor.org/ sici?sici=0036-1445(199409)36%3A3%3C509%3AEOIT%3E2.0.CO%3B2-I

citeulike: Elements of Information Theory 2nd Edition (Wiley ...
TY - BOOK ID - citeulike:1877660 TI - Elements of Information Theory 2nd Edition (Wiley Series in Telecommunications and Signal Processing) PB ...
www.citeulike.org/ user/ mshafiei/ article/ 1877660

R. Riedi, ELEC 535 (2003): Elements of Information Theory
T. Cover and J. Thomas, `Elements of Information Theory'. The course will closely follow this book; it is available at the campus bookstore. ...
www.stat.rice.edu/ ~riedi/ elec535.html

"The Asymptotic Equipartition Property". In: Elements of ...
Elements of Information Theory. Thomas M. Cover, Joy A. Thomas. Copyright. . 1991 John Wiley & Sons, Inc. Print ISBN 0-471-06259-6 Online ISBN ...
www.matf.bg.ac.yu/ nastavno/ viktor/ The_Asymptotic_Equipartition_Property.pdf

Informaatioteorian perusteet Elements of Information Theory
Elements of Information Theory. po Box 4500 (Erkki Koiso-Kanttilan katu 3). FI-90014 University of Oulu. FINLAND. markku.juntti@ee.oulu.fi ...
www.telecomlab.oulu.fi/ home/ kurssit/ 521315A/ itp.pdf

Elements of information theory (Cover tm, Thomas ja, 1991)
Elements of information theory Following a brief introduction and overview, early chapters cover the basic algebraic relationships of entropy, ...
fr.dleex.com/ details/ ?9111

Wiley::Elements of Information Theory, 2nd Edition
Elements of Information Theory, 2nd Edition. Related Subjects. Information & Library Science · Accounting Technology · Business Technology ...
www.wiley.com/ WileyCDA/ WileyTitle/ productCd-0471241954,descCd-tableOfContents.html

Wiley Interscience Elements of Information Theory Jul 2006 - ebook ...
Wiley Interscience Elements of Information Theory Jul 2006 ... Wiley Interscience Elements of Information Theory Jul 2006, $10 ...
download-ebook.in/ index.php?target=desc& ebookid=5999

Instructor: { Texts: { Elements of Information Theory ...
Elements of Information Theory,. tm Cover & ja Thomas, Wiley. 1991. {. Helpful:. Information Theory and Reliable Communication,. rg Gallager, Wiley ...
www.ece.rutgers.edu/ ~crose/ 542_html/ info.ps

À propos de l'auteur (2006)

THOMAS M. COVER, PHD, is Professor in the departments of electrical engineering and statistics, Stanford University. A recipient of the 1991 IEEE Claude E. Shannon Award, Dr. Cover is a past president of the IEEE Information Theory Society, a Fellow of the IEEE and the Institute of Mathematical Statistics, and a member of the National Academy of Engineering and the American Academy of Arts and Science. He has authored more than 100 technical papers and is coeditor of Open Problems in Communication and Computation.

JOY A. THOMAS, PHD, is the Chief Scientist at Stratify, Inc., a Silicon Valley start-up specializing in organizing unstructured information. After receiving his PhD at Stanford, Dr. Thomas spent more than nine years at the IBM T. J. Watson Research Center in Yorktown Heights, New York. Dr. Thomas is a recipient of the IEEE Charles LeGeyt Fortescue Fellowship.

Informations bibliographiques

QR code for Elements of Information Theory
TitreElements of Information Theory
AuteursThomas M. Cover, Joy A. Thomas
Édition2, illustrée
ÉditeurJohn Wiley & Sons, 2006
ISBN0471748811, 9780471748816
Longueur776 pages
  
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