Importance sampling techniques for efficient simulation of stack decoders

Khaled Letaief, J. S. Sadowsky

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

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
Volume27
Issue number7
Publication statusPublished - 1 Jan 1991
Externally publishedYes

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Importance sampling
Monte Carlo simulation

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Importance sampling techniques for efficient simulation of stack decoders. / Letaief, Khaled; Sadowsky, J. S.

In: Electronics Letters, Vol. 27, No. 7, 01.01.1991, p. 593-595.

Research output: Contribution to journalArticle

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