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  • Produktbild: Entropy and Information Theory

Entropy and Information Theory

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

18.09.2014

Abbildungen

XXVII, 409 p.

Verlag

Springer Us

Seitenzahl

409

Maße (L/B/H)

23.5/15.5/2.4 cm

Gewicht

663 g

Auflage

2nd ed. 2011

Sprache

Englisch

ISBN

978-1-4899-8132-5

Beschreibung

Rezension

From the book reviews:

“This book is the second edition of the classic 1990 text … and inherits much of the structure and all of the virtues of the original. … this is a deep and important book, which would reward further study as the focus of a reading group or graduate course, and comes enthusiastically recommended.” (Oliver Johnson, Mathematical Reviews, October, 2014)

“In Entropy and Information Theory Robert Gray offers an excellent text to stimulate research in this field. … Entropy and Information Theory is highly recommended as essential reading to academics and researchers in the field, especially to engineers interested in the mathematical aspects and mathematicians interested in the engineering applications. … it will contribute to further synergy between the two fields and the deepening of research efforts.” (Ina Fourie, Online Information Review, Vol. 36 (3), 2012)

“The book offers interesting and very important information about the theory of probabilistic information measures and their application to coding theorems for information sources and noisy channels. The main goal is a general development of Shannon’s mathematical theory of communication for single-user systems. … The author manages to balance the practice with the theory, every chapter is very well structured and has high-value content.” (Nicolae Constantinescu, Zentralblatt MATH, Vol. 1216, 2011)

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

18.09.2014

Abbildungen

XXVII, 409 p.

Verlag

Springer Us

Seitenzahl

409

Maße (L/B/H)

23.5/15.5/2.4 cm

Gewicht

663 g

Auflage

2nd ed. 2011

Sprache

Englisch

ISBN

978-1-4899-8132-5

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Entropy and Information Theory
  • Produktbild: Entropy and Information Theory
  • Preface.- Introduction.- Information Sources.- Pair Processes: Channels, Codes, and Couplings.- Entropy.- The Entropy Ergodic Theorem.- Distortion and Approximation.- Distortion and Entropy.- Relative Entropy.- Information Rates.- Distortion vs. Rate.- Relative Entropy Rates.- Ergodic Theorems for Densities.- Source Coding Theorems.- Coding for Noisy Channels.- Bibliography.- References.- Index