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: Entropy and Information Theory
  name:
    name part: Gray, Robert M.
    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: 2011
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XXVII, 409 p. online resource.
  abstract: This book is an updated version of the information theory classic, first published in 1990. About one-third of the book is devoted to Shannon source and channel coding theorems; the remainder addresses sources, channels, and codes and on information and distortion measures and their properties. New in this edition: Expanded treatment of stationary or sliding-block codes and their relations to traditional block codes Expanded discussion of results from ergodic theory relevant to information theory Expanded treatment of B-processes -- processes formed by stationary coding memoryless sources New material on trading off information and distortion, including the Marton inequality New material on the properties of optimal and asymptotically optimal source codes New material on the relationships of source coding and rate-constrained simulation or modeling of random processes Significant material not covered in other information theory texts includes stationary/sliding-block codes, a geometric view of information theory provided by process distance measures, and general Shannon coding theorems for asymptotic mean stationary sources, which may be neither ergodic nor stationary, and d-bar continuous channels.
  table of contents: Preface -- Introduction -- Information Sources -- Pair Processes: Channels, Codes, and Couplings -- Entropy -- The Entropy Ergodic Theorem -- Distortion and Approximation -- Distortion and Entropy -- Relative Entropy -- Information Rates -- Distortion vs. Rate -- Relative Entropy Rates -- Ergodic Theorems for Densities -- Source Coding Theorems -- Coding for Noisy Channels -- Bibliography -- References -- Index.
  note: by Robert M. Gray.
  subject:
    topic: Engineering
  subject:
    topic: Coding theory
  subject:
    topic: Probabilities
  subject:
    topic: Statistics
  subject:
    topic: Electrical engineering
  subject:
    topic: Engineering
  subject:
    topic: Signal, Image and Speech Processing
  subject:
    topic: Communications Engineering, Networks
  subject:
    topic: Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
  subject:
    topic: Probability Theory and Stochastic Processes
  subject:
    topic: Coding and Information Theory
  classification: TK5102.9
  classification: TA1637-1638
  classification: TK7882.S65
  classification: 621.382
  related item:
    title info:
      title: Springer eBooks
  identifier: 9781441979704
  identifier: http://dx.doi.org/10.1007/978-1-4419-7970-4
  record info:
    record creation date: 110125
    record change date: 20151204145157.0
    record identifier: 978-1-4419-7970-4