Importance sampling techniques for efficient simulation of stack decoders

K. Ben Letaief, J. S. Sadowsky

Research output: Contribution to journalArticle

3 Citations (Scopus)


Importance sampling is a Monte Carlo simulation technique which as been recognised as a powerful tool for simulating low probability events. This letter presents new efficient importance sampling simulation schemes for estimating the distribution of computation for sequential decoders that employ the stack algorithm.

Original languageEnglish
Pages (from-to)593-595
Number of pages3
JournalElectronics Letters
Issue number7
Publication statusPublished - 28 Mar 1991



  • Codes and coding
  • Modelling
  • Simulation

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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