• DocumentCode
    2057838
  • Title

    Analysis of decoding complexity using the Berry-Esseen theorem

  • Author

    Chen, Po-Ning ; Han, Yunghsiang S. ; Hartmann, Carlos R P ; Wu, Hong-Bin

  • Author_Institution
    Dept. of Comm. Eng., Nat. Chiao Tung Univ, Taiwan
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    286
  • Abstract
    This work presents a novel technique to analyze the computational efforts of an ordering-free variant of the generalized Dijkstras´s algorithm (GDA) and the maximum-likelihood sequential decoding algorithm (MLSDA) based on the Berry-Esseen theorem. Different from the theoretical bounds determined by the conventional central limit theorem argument, which often holds only for sufficiently large block length, the new bounds are valid for any block length.
  • Keywords
    AWGN channels; binary codes; block codes; computational complexity; convolutional codes; linear codes; maximum likelihood decoding; sequential decoding; AWGN channel; Berry-Esseen theorem; binary convolutional code; decoding complexity analysis; generalized Dijkstras algorithm; linear block code; maximum-likelihood sequential decoding algorithm; ordering-free variant; AWGN channels; Additive noise; Additive white noise; Algorithm design and analysis; Block codes; Convolutional codes; Gaussian noise; Maximum likelihood decoding; Random sequences; Random variables;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2002. Proceedings. 2002 IEEE International Symposium on
  • Print_ISBN
    0-7803-7501-7
  • Type

    conf

  • DOI
    10.1109/ISIT.2002.1023558
  • Filename
    1023558