Title
Matched Metrics to the Binary Asymmetric Channels
Abstract
In this paper, we establish some criteria to decide when a discrete memoryless channel admits a metric in such a way that the maximum likelihood decoding coincides with the nearest neighbor decoding. In particular, we prove a conjecture presented by M. Firer and J. L. Walker, establishing that every binary asymmetric channel admits a matched metric.
Year
DOI
Venue
2016
10.1109/TIT.2018.2885782
IEEE Transactions on Information Theory
Keywords
Field
DocType
Measurement,Maximum likelihood decoding,Memoryless systems,Maximum likelihood detection,Additives
k-nearest neighbors algorithm,Discrete mathematics,Combinatorics,Maximum likelihood detection,Computer science,Communication channel,Maximum likelihood,Decoding methods,Conjecture,Binary number
Journal
Volume
Issue
ISSN
65
2
0018-9448
Citations 
PageRank 
References 
1
0.37
3
Authors
1
Name
Order
Citations
PageRank
Claudio Qureshi1104.48