Syndrome decoding of binary rate k/n convolutional codes

J.P.M. Schalkwijk, A.J. Vinck, K.A. Post

Research output: Contribution to journalArticleAcademicpeer-review

23 Citations (Scopus)

Abstract

A state-space approach to the syndrome decoding of binary rate k/n convolutional codes is described. State-space symmetries of a certain class of codes can be exploited to obtain a reduction in the exponent of growth of the decoder hardware. Aside from these savings it is felt that the state-space formalism developed has some unique intrinsic value.
Original languageEnglish
Pages (from-to)553-562
Number of pages10
JournalIEEE Transactions on Information Theory
Volume24
Issue number5
DOIs
Publication statusPublished - 1978

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