Upper bounds on the number of errors corrected by a convolutional code

Jørn Justesen

Research output: Contribution to journalJournal articleResearchpeer-review

272 Downloads (Pure)

Abstract

We derive upper bounds on the weights of error patterns that can be corrected by a convolutional code with given parameters, or equivalently we give bounds on the code rate for a given set of error patterns. The bounds parallel the Hamming bound for block codes by relating the number of error patterns to the number of distinct syndromes.
Original languageEnglish
JournalI E E E Transactions on Information Theory
Volume50
Issue number2
Pages (from-to)350 - 353
ISSN0018-9448
DOIs
Publication statusPublished - 2004

Bibliographical note

Copyright: 2004 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

Cite this