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: Coding for Wireless Channels
  name:
    name part: Biglieri, Ezio.
    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: 2005
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIV, 428 p. 206 illus. online resource.
  abstract: Coding for Wireless Channels is an accessible introduction to the theoretical foundations of modern coding theory, with applications to wireless transmission systems. State-of-the-art coding theory is explained using soft (maximum-likelihood) decoding rather than algebraic decoding. Convolutional codes, trellis-coded modulation, turbo codes, and low-density parity-check (LDPC) codes are also covered, with specific reference to the graphical structures through which they can be described and decoded (trellises and factor graphs). A special section is devoted to multiple-antenna systems and space-time codes. The author assumes that the reader has a firm grasp of the concepts usually presented in senior-level courses on digital communications, information theory, and random processes. Coding for Wireless Channels will serve as an advanced text for undergraduate and graduate level courses & as a reference for professionals in telecommunications.
  table of contents: Tour d’horizon -- Channel models for digital transmission -- Coding in a signal space -- Fading channels -- Trellis representation of codes -- Coding on a trellis: Convolutional codes -- Trellis-coded modulation -- Codes on graphs -- LDPC and turbo codes -- Multiple antennas -- Facts from information theory -- Facts from matrix theory -- Random variables, vectors, and matrices -- Computation of error probabilities.
  note: by Ezio Biglieri.
  subject:
    topic: Engineering
  subject:
    topic: Coding theory
  subject:
    topic: Electrical engineering
  subject:
    topic: Engineering
  subject:
    topic: Communications Engineering, Networks
  subject:
    topic: Coding and Information Theory
  subject:
    topic: Signal, Image and Speech Processing
  subject:
    topic: Electrical Engineering
  classification: TK1-9971
  classification: 621.382
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Information Technology: Transmission, Processing and Storage
  identifier: 9781402080845
  identifier: http://dx.doi.org/10.1007/b136517
  record info:
    record creation date: 100301
    record change date: 20151204160353.0
    record identifier: 978-1-4020-8084-5