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Computing Maximal Error-detecting Capabilities and Distances of Regular Languages

Title
Computing Maximal Error-detecting Capabilities and Distances of Regular Languages
Type
Article in International Scientific Journal
Year
2010
Authors
Stavros Konstantinidis
(Author)
Other
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Journal
Vol. 101 No. 4
Pages: 257-270
ISSN: 0169-2968
Publisher: IOS PRESS
Indexing
Scientific classification
FOS: Natural sciences > Computer and information sciences
Other information
Authenticus ID: P-003-B0Q
Abstract (EN): A (combinatorial) channel consists of pairs of words representing all possible input-output channel situations. In a past paper, we formalized the intuitive concept of "largest amount of errors" detectable by a given language L, by defining the maximal error-detecting capabilities of L with respect to a given class of channels, and we showed how to compute all maximal error-detecting capabilities (channels) of a given regular language with respect to the class of rational channels and a class of channels involving only the substitution-error type. In this paper we resolve the problem for channels involving any combination of the basic error types: substitution, insertion, deletion. Moreover, we consider the problem of finding the inverses of these channels, in view of the fact that L is error-detecting for gamma if and only if it is error-detecting for the inverse of gamma. We also discuss a natural method of reducing the problem of computing (inner) distances of a given regular language L to the problem of computing maximal error-detecting capabilities of L.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 14
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