A new upper bound on the first-event error probability for maximum-likelihood decoding of fixed binary convolutional codes

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Abstract

An upper bound on the first-event error probability for maximum-likelihood decoding of fixed binary convolutional codes on the binary symmetric channel is derived. The bound is evaluated for rate1/2codes, and comparisons are made with simulations and with the bounds of Viterbi, Van de Meeberg, and Post. In particular, the new bound is significantly better than Van de Meeberg's bound for rates above

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Subject classification (UKÄ) – MANDATORY

  • Electrical Engineering, Electronic Engineering, Information Engineering
Original languageEnglish
Pages (from-to)762-766
JournalIEEE Transactions on Information Theory
Volume30
Issue number5
Publication statusPublished - 1984
Publication categoryResearch
Peer-reviewedYes

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