Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/325966
Type: Artigo
Title: Matched Metrics And Channels
Matched metrics and channels
Author: Firer, Marcelo
Walker, Judy L.
Abstract: The most common decision criteria for decoding are maximum likelihood decoding and nearest neighbor decoding. It is well known that maximum likelihood decoding coincides with nearest neighbor decoding with respect to the Hamming metric on the binary symmetric channel. In this paper, we study channels and metrics for which those two criteria do and do not coincide for general codes.
The most common decision criteria for decoding are maximum likelihood decoding and nearest neighbor decoding. It is well known that maximum likelihood decoding coincides with nearest neighbor decoding with respect to the Hamming metric on the binary symmetric channel. In this paper, we study channels and metrics for which those two criteria do and do not coincide for general codes.
Subject: Binary Codes
Channel Models
Maximum Likelihood Decoding
Nearest Neighbor Decoding
Teoria da codificação
Códigos corretores de erros (Teoria da informação)
Decodificação por máxima verossimilhança
Country: Estados Unidos
Editor: Institute of Electrical and Electronics Engineers
Citation: Ieee Transactions Of Information Theory. Ieee-inst Electrical Electronics Engineers Inc, v. 62, p. 1150 - 1156, 2016.
Rights: fechado
Identifier DOI: 10.1109/TIT.2015.2512596
Address: https://ieeexplore.ieee.org/document/7366596
Date Issue: 2016
Appears in Collections:IMECC - Artigos e Outros Documentos

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