• DocumentCode
    3546589
  • Title

    A low-complexity decoding algorithm for systematic binary deterministic rateless codes

  • Author

    Xincheng Zhang ; Bo Li ; Dengsheng Lin ; Shaoqian Li

  • Author_Institution
    Nat. Key Lab. of Sci. & Technol. on Commun., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • Volume
    2
  • fYear
    2013
  • fDate
    15-17 Nov. 2013
  • Firstpage
    15
  • Lastpage
    18
  • Abstract
    In this paper, we propose two low-complexity decoding algorithms for systematic binary deterministic rateless codes. One is based on segmentation available for large information block. Segmentation-based decoding algorithm can dramatically reduce the complexity on solving inverse of matrix, which dominates the complexity of decoding. Another is based on enumeration for small information block. Enumeration-based decoding algorithm can avoid solving the inverse of matrix, which is of advantage in term of complexity.
  • Keywords
    binary codes; decoding; matrix algebra; decoding complexity; enumeration based decoding; low-complexity decoding algorithm; matrix inverse; segmentation based decoding; systematic binary deterministic rateless codes; Complexity theory; Decoding; Encoding; Equations; Network coding; Systematics; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, Circuits and Systems (ICCCAS), 2013 International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4799-3050-0
  • Type

    conf

  • DOI
    10.1109/ICCCAS.2013.6765275
  • Filename
    6765275