• DocumentCode
    2259223
  • Title

    A memory efficient MAP algorithm for linear block codes

  • Author

    Ghayour, Farzad ; Takawira, Fambirai ; Xu, Hongjun

  • Author_Institution
    Sch. of Electr., Electron. & Comput. Eng., Univ. of KwaZulu-Natal, Durban, South Africa
  • fYear
    2011
  • fDate
    13-15 Sept. 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    It is usually assumed that for implementing the maximum a posteriori (MAP) decoding algorithm, saving all the state metrics is required. This memory requirement makes the MAP an impractical decoding algorithm especially for the non-binary block codes. In this paper, we present a modification of the MAP algorithm, in order to make it a more feasible algorithm. The computational complexity analysis and the memory requirements as well as the simulation results for the proposed algorithm are presented.
  • Keywords
    block codes; computational complexity; decoding; linear codes; maximum likelihood estimation; computational complexity analysis; linear block codes; maximum a posteriori decoding algorithm; memory efficient MAP algorithm; memory requirements; nonbinary block codes; state metrics; Algorithm design and analysis; Block codes; Complexity theory; Decoding; Measurement; Memory management; Vectors; Dual MAP; MAP algorithm; Memory saving; Non binary MAP;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    AFRICON, 2011
  • Conference_Location
    Livingstone
  • ISSN
    2153-0025
  • Print_ISBN
    978-1-61284-992-8
  • Type

    conf

  • DOI
    10.1109/AFRCON.2011.6072085
  • Filename
    6072085