Matched Metrics and Channels

Matched Metrics and Channels

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 channel...

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Veröffentlicht in:IEEE transactions on information theory 2016-03, Vol.62 (3), p.1150-1156
Hauptverfasser: Firer, Marcelo, Walker, Judy L.
Format: Artikel
Sprache:eng
Schlagworte:
Additives
Binary codes
Channel models
Channels
Codes
Criteria
Decoding
Euclidean distance
Information theory
Maximum likelihood decoding
Maximum likelihood method
Multiple criteria decision making
nearest neighbor decoding
Symmetry
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Zusammenfassung: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.
ISSN:0018-9448
1557-9654
DOI:10.1109/TIT.2015.2512596