On survivor error patterns for maximum likelihood soft decoding

Jakov Snyders*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Ordinarily a large number of error patterns is encountered in maximum likelihood soft decision syndrome decoding of a binary linear block code. However, many of them can be eliminated (without scoring) on the basis of the sorted confidence values of the hard-detected bits. We present some properties that an error pattern should possess in order to survive such elimination procedure. By applying these necessary conditions for survivability the family of error patterns is substantially reducible, and soft decision decoding is facilitated.

Original languageEnglish
Title of host publicationProceedings - 1991 IEEE International Symposium on Information Theory, ISIT 1991
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages192
Number of pages1
ISBN (Electronic)0780300564
DOIs
StatePublished - 1991
Event1991 IEEE International Symposium on Information Theory, ISIT 1991 - Budapest, Hungary
Duration: 24 Jun 199128 Jun 1991

Publication series

NameIEEE International Symposium on Information Theory - Proceedings
ISSN (Print)2157-8095

Conference

Conference1991 IEEE International Symposium on Information Theory, ISIT 1991
Country/TerritoryHungary
CityBudapest
Period24/06/9128/06/91

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