• DocumentCode
    762425
  • Title

    Survivor memory reduction in the Viterbi algorithm

  • Author

    Abbasfar, Aliazam ; Yao, Kung

  • Author_Institution
    Dept. of Electr. Eng., California Univ., Los Angeles, CA, USA
  • Volume
    9
  • Issue
    4
  • fYear
    2005
  • fDate
    4/1/2005 12:00:00 AM
  • Firstpage
    352
  • Lastpage
    354
  • Abstract
    This paper presents a novel approach for implementation of the Viterbi algorithm, wherein survivor paths are generally kept in as low as one half of the storage required for traditional trace-back methods. Survivor memory reduction is obtained by storing only the useful part of the survivor paths. In other words, the redundancy in the survivor paths is removed. A decoder using this approach not only requires significantly less memory, but also runs faster than conventional decoders. Some instances of this approach are explicitly presented.
  • Keywords
    Huffman codes; Viterbi decoding; convolutional codes; variable length codes; Huffman codes; Viterbi algorithm; convolutional code; decoder; survivor memory reduction; trace-back method; variable length codes; Binary sequences; Convolutional codes; Digital communication; Encoding; Error correction; Maximum likelihood decoding; Maximum likelihood detection; Maximum likelihood estimation; Redundancy; Viterbi algorithm;
  • fLanguage
    English
  • Journal_Title
    Communications Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7798
  • Type

    jour

  • DOI
    10.1109/LCOMM.2005.04004
  • Filename
    1413631