On a method of calculating the event error probability of convolutional codes with maximum likelihood decoding

J.P.M. Schalkwijk; K.A. Post; J.P.J.C. Aarts

doi:10.1109/TIT.1979.1056098

On a method of calculating the event error probability of convolutional codes with maximum likelihood decoding

J.P.M. Schalkwijk
, K.A. Post
, J.P.J.C. Aarts

Mathematics and Computer Science

Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review

7 Citaten (Scopus)

Samenvatting

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.

Originele taal-2	Engels
Pagina's (van-tot)	737-743
Aantal pagina's	7
Tijdschrift	IEEE Transactions on Information Theory
Volume	25
Nummer van het tijdschrift	6
DOI's	https://doi.org/10.1109/TIT.1979.1056098
Status	Gepubliceerd - 1979

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10.1109/TIT.1979.1056098

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abstract = "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.",

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On a method of calculating the event error probability of convolutional codes with maximum likelihood decoding

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