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:
    non sort: A
    title: serially concatenated BCH-Turbo code scheme over an Additive White Gaussion Noise channel
  name:
    name part: Ovalekar, Sameer V.
    name part: 1974-
    role:
      role term: creator
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: xx
    date issued: 1997
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: print
    form: remote
    extent: ix, 64 leaves : illustrations ; 28 cm.
  abstract: algorithm and have enough algebraic structure within them to
  abstract: an Additive White Gaussian Noise (AWGN) channel. Turbo
  abstract: and breakthrough work in error control coding in recent
  abstract: applications requires several iterations between the multiple
  abstract: at the receiver. Using a sole turbo code for deep space
  abstract: BCH code, so that no loss in performance is observed due to
  abstract: be less complicated than a fully iterative turbo decoder
  abstract: because of the intensive computations required at each
  abstract: codes involved combining some dormant concepts with novel
  abstract: codes, first presented in 1993, represent the most innovative
  abstract: concatenated BCH-turbo code scheme for faster decoding over
  abstract: converge so that no significant loss in performance is
  abstract: decoder to operate at fewer iterations so that the turbo code
  abstract: decoders at the receiver. Typically no less than 10
  abstract: decoding process speeds up and at the same time provides
  abstract: enough protection (error correcting capability) within the
  abstract: inner turbo code and an outer BCH code which would permit the
  abstract: inner turbo code. The proposed coding scheme employs an
  abstract: It is also likely that the concatenated coding scheme would
  abstract: iteration of the turbo decoder.
  abstract: iterations would be required for the decoding algorithm to
  abstract: observed. This work attempts to look at one way to reduce
  abstract: parallel concatenated convolutional codes. Research in turbo
  abstract: relatively simple to decode using the Berlekamp-Massey
  abstract: residual errors that may remain after the decoding of the
  abstract: space and satellite channels. Turbo codes are essentially
  abstract: techniques for decoding, to offer the kind of performance
  abstract: that these codes do. Turbo codes use an iterative decoder
  abstract: the decoding delay by using a concatenated coding scheme.
  abstract: The outer BCH code is essentially used to clear out any
  abstract: the reduced iterations within the turbo code. BCH codes are
  abstract: This work deals with the implementation of a serially
  abstract: times. These codes offer nearcapacity performance on deep
  abstract: use where multiple error-correcting capability is required.
  abstract: which could take up a considerable amount of processing time
  note: by Sameer V. Ovalekar.
  note: "Major subject: Electrical Engineering".
  note: Vita.
  note: Also available online.
  note: Issued also on microfiche from Lange Micrographics.
  note: M.S. Texas A&M University 1997.
  note: Includes bibliographical references: pages 41-42.
  subject:
    topic: Major electrical engineering
  identifier: https://hdl.handle.net/1969.1/ETD-TAMU-1997-THESIS-O93
  related item:
    location:
      url: https://hdl.handle.net/1969.1/ETD-TAMU-1997-THESIS-O93
  record info:
    record content source: TXA
    record creation date: 981013
    record change date: 20220103134716.0
    record identifier: in00001440413