• DocumentCode
    3600355
  • Title

    Systematic encoders for convolutional codes and their application to turbo codes

  • Author

    Benedetto, Sergio ; Garello, Roberto ; Montorsi, Guido

  • Author_Institution
    Dipt. di Elettronica, Politecnico di Torino, Italy
  • fYear
    1996
  • Firstpage
    6
  • Lastpage
    10
  • Abstract
    Systematic recursive convolutional encoders have been shown to play a crucial role in the design and implementation of parallel concatenated codes (“turbo codes”). We present here a canonical structure of minimal linear systematic rate k/n encoders and use it in the search for good constituent codes of parallel concatenated codes. Tables of the best encoders for various rates are also presented
  • Keywords
    concatenated codes; convolutional codes; linear codes; canonical structure; constituent codes; convolutional codes; group codes; minimal linear systematic rate k/n encoders; parallel concatenated codes; recursive convolutional encoders; systematic encoders; turbo codes; Carbon capture and storage; Character generation; Concatenated codes; Convolutional codes; Decoding; Electronic mail; Feedback; Guidelines; Performance analysis; Turbo codes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference, 1996. GLOBECOM '96. 'Communications: The Key to Global Prosperity
  • Print_ISBN
    0-7803-3336-5
  • Type

    conf

  • DOI
    10.1109/GLOCOM.1996.586739
  • Filename
    586739