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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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Main Author: Yeung, Raymond W. (Author, http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Language:English
Published: New York, NY : Springer US : Imprint: Springer, 2008.
Edition:1st ed. 2008.
Series:Information Technology: Transmission, Processing and Storage
Subjects:
Computers.
Computer communication systems.
Electrical engineering.
Data structures (Computer science).
Probabilities.
Theory of Computation.
Computer Communication Networks.
Communications Engineering, Networks.
Data Structures and Information Theory.
Probability Theory and Stochastic Processes.
Online Access:https://doi.org/10.1007/978-0-387-79234-7
Table of Contents:
  • 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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