On a method of calculating the event error probability of convolutional codes with maximum likelihood decoding (Corresp.)
J. Schalkwijk, KA Karel Post, Joey Aarts · IEEE Transactions on Information Theory · 1979
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.