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: Signal Recovery Techniques for Image and Video Compression and Transmission
  name:
    name part: Katsaggelos, Aggelos K.
    role:
      role term: creator
  name:
    name part: Galatsanos, Nick P.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: xxu
    date issued: 1998
    issuance: monographic
  language:
    language term: eng
  physical description:
    reformatting quality: access
    form: remote
    extent: 1 online resource (xvi, 301 pages)
  abstract: Signal Recovery Techniques for Image and Video Compression and Transmission establishes a bridge between the fields of signal recovery and image and video compression. Traditionally these fields have developed separately because the problems they examined were regarded as very different, and the techniques used appear unrelated. Recently, though, there is growing consent among the research community that the two fields are quite closely related. Indeed, in both fields the objective is to reconstruct the best possible signal from limited information. The field of signal recovery, which is relatively mature, has long been associated with a wealth of powerful mathematical techniques such as Bayesian estimation and the theory of projects onto convex sets (to name just two). This book illustrates for the first time in a complete volume how these techniques can be brought to bear on the very important problems of image and video compression and transmission. Signal Recovery Techniques for Image and Video Compression and Transmission, which is written by leading practitioners in both fields, is one of the first references that addresses this approach and serves as an excellent information source for both researchers and practicing engineers.
  note: by Aggelos K. Katsaggelos, Nick P. Galatsanos.
  note: Electronic resource.
  subject:
    topic: Computer science
  subject:
    topic: Computer vision
  subject:
    topic: Computer engineering
  subject:
    topic: Computer engineering
  subject:
    topic: Computer science
  subject:
    topic: Computer vision
  classification: TA1637-1638
  classification: 006.6
  classification: 006.37
  identifier: 9781475765144 (electronic bk.)
  identifier: 1475765142 (electronic bk.)
  identifier: 9781441950635
  identifier: 144195063X
  identifier: 1475765142
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: AU@
    record creation date: 130220
    record change date: 20260423141745.6
    record identifier: in00003563164
    language of cataloging:
      language term: eng