On the error exponent for woven convolutional codes with outer warps

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Abstract

In this correspondence the error exponent and the decoding complexity of binary woven convolutional codes with outer warp and with binary convolutional codes as outer and inner codes are studied. It is shown that an error probability that is exponentially decreasing with the product of the outer and inner code memories can be achieved with a nonexponentially increasing decoding complexity

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Subject classification (UKÄ) – MANDATORY

  • Electrical Engineering, Electronic Engineering, Information Engineering
Original languageEnglish
Pages (from-to)1649-1653
JournalIEEE Transactions on Information Theory
Volume45
Issue number5
Publication statusPublished - 1999
Publication categoryResearch
Peer-reviewedYes

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