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

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1 Author(s)
Justesen, J. ; Tech. Univ. of Denmark, Lyngby, Denmark

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.

Published in:

Information Theory, IEEE Transactions on  (Volume:50 ,  Issue: 2 )

Date of Publication:

Feb. 2004

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