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Optimal decoding of linear codes for minimizing symbol error rate (Corresp.)

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4 Author(s)

The general problem of estimating the a posteriori probabilities of the states and transitions of a Markov source observed through a discrete memoryless channel is considered. The decoding of linear block and convolutional codes to minimize symbol error probability is shown to be a special case of this problem. An optimal decoding algorithm is derived.

Published in:

IEEE Transactions on Information Theory  (Volume:20 ,  Issue: 2 )