Entropy and Information Theory

This book is an updated version of the information theory classic, first published in 1990. About one-third of the book is devoted to Shannon source and channel coding theorems; the remainder addresses sources, channels, and codes and on information and distortion measures and their properties. New...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Gray, Robert M. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer US : Imprint: Springer, 2011.
Edición:2nd ed. 2011.
Temas:
Signal processing.
Telecommunication.
Statistics .
Probabilities.
Coding theory.
Information theory.
Signal, Speech and Image Processing .
Communications Engineering, Networks.
Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Probability Theory.
Coding and Information Theory.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

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