• DocumentCode
    1018208
  • Title

    New importance sampling methods for simulating sequential decoders

  • Author

    Letaief, Khaled ; Sadowsky, John S.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Melbourne Univ., Parkville, Vic., Australia
  • Volume
    39
  • Issue
    5
  • fYear
    1993
  • fDate
    9/1/1993 12:00:00 AM
  • Firstpage
    1716
  • Lastpage
    1722
  • Abstract
    Two importance sampling techniques are presented for estimating the distribution of computation of sequential decoding for specific convolutional codes (not ensemble averages). Only stack algorithm decoders are considered. Numerical examples are presented for both the BSC and the AWGN channel
  • Keywords
    Monte Carlo methods; convolutional codes; decoding; telecommunication channels; white noise; AWGN channel; BSC; Monte Carlo technique; convolutional codes; importance sampling methods; information theory; likelihood ratio weighting; sequential decoders; sequential decoding; stack algorithm decoders; Constellation diagram; Convolutional codes; Decoding; Distributed computing; Gaussian channels; Gaussian processes; Information theory; Monte Carlo methods; Peak to average power ratio; Sampling methods;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/18.259665
  • Filename
    259665
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1018208