ON THE PERFORMANCE OF A MAXIMUM LIKELIHOOD DECODER FOR CONVOLUTIONAL CODES.

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作者：
Schalkwijk, J.P.M.
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AGARD Conference Proceedings | 1978年 / 239期
关键词：
Probability;
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摘要：
Maximum likelihood (ML) decoding of short constrain length convolutional codes became feasible with the invention of the Viterbi decoder. Several authors have since upper bounded the performance of ML decoders. No one has as yet given an exact evaluation of the error rate. This paper describes a method to compute the event error probability of an ML decoder for convolutional codes.
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