Information Theory and Network Coding

Information Theory and Network Coding consists of two parts: Components of Information Theory, and Fundamentals of Network Coding Theory. Part I is a rigorous treatment of information theory for discrete and continuous systems. In addition to the classical topics, there are such modern topics as the...

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Détails bibliographiques
Cote:Libro Electrónico
Auteur principal: Yeung, Raymond W. (Auteur)
Collectivité auteur: SpringerLink (Online service)
Format: Électronique eBook
Langue:Inglés
Publié: New York, NY : Springer US : Imprint: Springer, 2008.
Édition:1st ed. 2008.
Collection:Information Technology: Transmission, Processing and Storage
Sujets:
Computer science.
Computer networks .
Telecommunication.
Data structures (Computer science).
Information theory.
Probabilities.
Theory of Computation.
Computer Communication Networks.
Communications Engineering, Networks.
Data Structures and Information Theory.
Probability Theory.
Accès en ligne:Texto Completo
Table des matières:
  • The Science of Information
  • The Science of Information
  • Fundamentals of Network Coding
  • Information Measures
  • Information Measures
  • Zero-Error Data Compression
  • Weak Typicality
  • Strong Typicality
  • Discrete Memoryless Channels
  • Rate-Distortion Theory
  • The Blahut-Arimoto Algorithms
  • Differential Entropy
  • Continuous-Valued Channels
  • Markov Structures
  • Information Inequalities
  • Shannon-Type Inequalities
  • Beyond Shannon-Type Inequalities
  • Entropy and Groups
  • Fundamentals of Network Coding
  • The Max-Flow Bound
  • Single-Source Linear Network Coding: Acyclic Networks
  • Single-Source Linear Network Coding: Cyclic Networks
  • Multi-source Network Coding.

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