• DocumentCode
    3710244
  • Title

    A low-complexity decoding algorithm for concatenated tree codes

  • Author

    Daesung Kim;Jeongseok Ha

  • Author_Institution
    Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 305 - 701, Korea
  • fYear
    2015
  • Firstpage
    488
  • Lastpage
    490
  • Abstract
    This work considers a modified belief-propagation algorithm with two way scheduling for concatenated tree (CT) codes in which tree codes are employed as constituent codes. It will be shown that constituent tree codes can be efficiently decoded with the modified algorithm. Thus, by repeatedly using the modified BP algorithm for the constituent tree codes, CT codes can be decoded in an efficient way. Moreover, we show that the modified algorithm is especially suited for low complexity hardware implementation. Finally, a simple analysis technique for error-correcting performances of tree codes will be presented.
  • Keywords
    "Iterative decoding","Maximum likelihood decoding","Complexity theory","Algorithm design and analysis","Scheduling"
  • Publisher
    ieee
  • Conference_Titel
    Information and Communication Technology Convergence (ICTC), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/ICTC.2015.7354592
  • Filename
    7354592