rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Information Theory and Network Coding
  name:
    name part: Yeung, Raymond W.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2008
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XX, 580 p. online resource.
  abstract: 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.
  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.
  note: by Raymond W. Yeung.
  subject:
    topic: Computer science
  subject:
    topic: Computer communication systems
  subject:
    topic: Data structures (Computer science)
  subject:
    topic: Computers
  subject:
    topic: Probabilities
  subject:
    topic: Electrical engineering
  subject:
    topic: Computer Science
  subject:
    topic: Theory of Computation
  subject:
    topic: Computer Communication Networks
  subject:
    topic: Communications Engineering, Networks
  subject:
    topic: Data Structures, Cryptology and Information Theory
  subject:
    topic: Probability Theory and Stochastic Processes
  classification: QA75.5-76.95
  classification: 004.0151
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Information Technology Transmission Processing and Storage
  identifier: 9780387792347
  identifier: http://dx.doi.org/10.1007/978-0-387-79234-7
  record info:
    record creation date: 100301
    record change date: 20151204185131.0
    record identifier: 978-0-387-79234-7