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Simplified correlation decoding by selecting possible codewords using erasure information (Corresp.)

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2 Author(s)

Correlation decoding is an optimal scheme of soft-decision decoding for error-correcting codes in the sense of minimum block-error probability. However, it is very difficult to apply the scheme when the number of information digits is large because of decoding complexity. A new algorithm for soft-decision decoding is presented, simplifying the correlation scheme by selecting certain codewords and decreasing decoding complexity by using erasure information. Any desired block-error probability between the error Probabilities of correlation and hard-decision decoding can be realized by setting up a suitable threshold value 0 for erasure decision. Computer simulation has been performed for Golay(23,12,7)code and BCH(15,7,5)code.

Published in:

Information Theory, IEEE Transactions on  (Volume:29 ,  Issue: 5 )

Date of Publication:

Sep 1983

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