Error exponents for product convolutional codes

Carlos Medina, Vladimir R. Sidorenko, V. V. Zyablov

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


An upper bound on the error probability (first error event) of product convolutional codes over a memoryless binary symmetric channel, and the resulting error exponent are derived. The error exponent is estimated for two decoding procedures. It is shown that, for both decoding methods, the error probability exponentially decreasing with the constraint length of product convolutional codes can be attained with nonexponentially increasing decoding complexity. Both estimated error exponents are similar to those for woven convolutional codes with outer and inner warp.

Original languageEnglish
Pages (from-to)167-182
Number of pages16
JournalProblems of information transmission
Issue number3
Publication statusPublished - Sep 2006
Externally publishedYes


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