Title
Minimum dimensional Hamming embeddings.
Abstract
We consider two metrics decoding equivalent if they impose the same minimum distance decoding for every code. It is known that, up to this equivalence, every metric is isometrically embeddable into the Hamming cube. We present an algorithm which for any translation invariant metric gives an upper bound on the minimum dimension of such an embedding. We also give lower and upper bounds for this embedding dimension over the set of all such metrics.
Year
DOI
Venue
2017
10.3934/amc.2017029
ADVANCES IN MATHEMATICS OF COMMUNICATIONS
Keywords
Field
DocType
Coding theory,hypercube embeddings,maximum-likelihood decoding,minimum distance decoding
Discrete mathematics,Hamming code,Combinatorics,Embedding,Upper and lower bounds,Equivalence (measure theory),Coding theory,Hamming distance,Invariant (mathematics),Decoding methods,Mathematics
Journal
Volume
Issue
ISSN
11
SP2
1930-5346
Citations 
PageRank 
References 
1
0.37
2
Authors
2
Name
Order
Citations
PageRank
Rafael Gregorio Lucas D'Oliveira1183.43
Marcelo Firer28518.24