• DocumentCode
    1084670
  • Title

    Efficiency of optimal conditional importance sampling

  • Author

    Wei, L.

  • Author_Institution
    Res. Sch. Inf. & Sci. Eng., Australian Nat. Univ., Canberra, ACT, Australia
  • Volume
    31
  • Issue
    16
  • fYear
    1995
  • fDate
    8/3/1995 12:00:00 AM
  • Firstpage
    1322
  • Lastpage
    1323
  • Abstract
    Optimal conditional importance sampling (OCIS) provides the unique optimal conditional estimator for error probabilities. The OCIS method essentially obtains a Monte Carlo average over conditional error probabilities. The efficiency of OCIS is studied for a binary symmetric ISI channel with AWGN. The results show that the technique is at least twice as efficient as that of the linearly shifted method
  • Keywords
    Gaussian noise; Monte Carlo methods; digital radio; error statistics; intersymbol interference; mobile radio; probability; signal sampling; telecommunication channels; white noise; AWGN; Monte Carlo average; binary symmetric ISI channel; conditional error probabilities; error probabilities; optimal conditional estimator; optimal conditional importance sampling;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:19950906
  • Filename
    408299
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1084670