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Computer Science - Theoretical Computer Science | Information Theory and Network Coding

Information Theory and Network Coding

Yeung, Raymond W.

2008, XX, 580 p.

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  • Features a modern treatment of information theory that combines with a new topic of network coding
  • Includes numerous examples, illustrations, and original problems
  • Structured systematically as a textbook and includes problems with solutions

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 I-Measure, Shannon-type and non-Shannon-type information inequalities, and a fundamental relation between entropy and group theory. With information theory as the foundation, Part II is a comprehensive treatment of network coding theory with detailed discussions on linear network codes, convolutional network codes, and multi-source network coding.

Other important features include:

  • Derivations that are from the first principle
  • A large number of examples throughout the book
  • Many original exercise problems
  • Easy-to-use chapter summaries
  • Two parts that can be used separately or together for a comprehensive course

Information Theory and Network Coding is for senior undergraduate and graduate students in electrical engineering, computer science, and applied mathematics. This work can also be used as a reference for professional engineers in the area of communications.

Content Level » Graduate

Keywords » Shannon - algorithms - coding theory - communication - complexity - complexity theory - computer - computer network - data compression - information - information theory

Related subjects » Communication Networks - Probability Theory and Stochastic Processes - Security and Cryptology - Signals & Communication - Theoretical Computer Science

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