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On a method of calculating the event error probability of convolutional codes with maximum likelihood decoding (Corresp.)

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3 Author(s)

Maximum likelihood (ML) decoding of short constraint length convolutional codes became feasible with the invention of the Viterbi decoder. Several authors have since upper bounded the performance of ML decoders. A method to calculate the event error probability of an ML decoder for convolutional codes is described.

Published in:

Information Theory, IEEE Transactions on  (Volume:25 ,  Issue: 6 )

Date of Publication:

Nov 1979

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