On Low-Complexity Maximum-Likelihood Decoding of Convolutional Codes

DOI10.1109/TIT.2008.2006461zbMath1319.94111arXiv0711.3077MaRDI QIDQ3604863

Jie Luo

Publication date: 24 February 2009

Published in: IEEE Transactions on Information Theory (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/0711.3077

zbMATH Keywords

hidden Markov modelconvolutional codemaximum-likelihood (ML) decodingcoding complexityViterbi algorithm (VA)

Mathematics Subject Classification ID

Decoding (94B35) Convolutional codes (94B10)

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