• DocumentCode
    885540
  • Title

    On the application of approximate APP decoding to digital video transmission

  • Author

    Raghavan, Sreenivasa A. ; Hebron, Yoav ; Gurantz, Itzhak

  • Author_Institution
    ComStream Corp., San Diego, CA, USA
  • Volume
    11
  • Issue
    1
  • fYear
    1993
  • fDate
    1/1/1993 12:00:00 AM
  • Firstpage
    136
  • Lastpage
    145
  • Abstract
    For transmitting compressed digital video, the authors propose using threshold decodable block codes with large block length, and a posteriori probability (APP) soft decision decoding. A new approximation of the weight function associated with APP soft decision decoding of threshold decodable codes is presented. When the number of components in the parity equations is large, the new method gives excellent error performance, whereas there is a substantial degradation in the performance of the least reliable symbol approximation presented by Tanaka et al. (1980) and others. The effect of feedback on the performance of the APP decoder is also analyzed. It is shown that if the performance criterion is word error rate rather than bit error rate, feedback of previously decoded bits is essential to obtain all possible coding gain from the soft decision decoder. Finally, the performance of the proposed coding scheme is compared to the performance of a concatenated coding system with the same rate
  • Keywords
    block codes; decoding; digital communication systems; error statistics; high definition television; image coding; television broadcasting; video signals; visual communication; APP soft decision decoding; HDTV; a posteriori probability decoding; approximate APP decoding; digital video transmission; error performance; threshold decodable block codes; weight function; word error rate; Bit error rate; Block codes; Decoding; Degradation; Equations; Error analysis; Feedback; Performance analysis; Performance gain; Video compression;
  • fLanguage
    English
  • Journal_Title
    Selected Areas in Communications, IEEE Journal on
  • Publisher
    ieee
  • ISSN
    0733-8716
  • Type

    jour

  • DOI
    10.1109/49.210552
  • Filename
    210552