DocumentCode
1434587
Title
Association schemes and coding theory
Author
Delsarte, Philippe ; Levenshtein, Vladimir I.
Author_Institution
Dept. of Comput. Sci. & Eng., Catholic Univ. of Louvain, Belgium
Volume
44
Issue
6
fYear
1998
fDate
10/1/1998 12:00:00 AM
Firstpage
2477
Lastpage
2504
Abstract
This paper contains a survey of association scheme theory (with its algebraic and analytical aspects) and of its applications to coding theory (in a wide sense). It is mainly concerned with a class of subjects that involve the central notion of the distance distribution of a code. Special emphasis is put on the linear programming method, inspired by the MacWilliams transform. This produces upper bounds for the size of a code with a given minimum distance, and lower bounds for the size of a design with a given strength. The most specific results are obtained in the case where the underlying association scheme satisfies certain well-defined “polynomial properties;” this leads one into the realm of orthogonal polynomial theory. In particular, some “universal bounds” are derived for codes and designs in polynomial type association schemes. Throughout the paper, the main concepts, methods, and results are illustrated by two examples that are of major significance in classical coding theory, namely, the Hamming scheme and the Johnson scheme. Other topics that receive special attention are spherical codes and designs, and additive codes in translation schemes, including Z4-additive binary codes
Keywords
combinatorial mathematics; encoding; linear programming; polynomials; reviews; Hamming scheme; Johnson scheme; MacWilliams transform; Z4-additive binary codes; additive codes; association scheme theory; coding theory; distance distribution; linear programming method; lower bounds; orthogonal polynomial theory; polynomial properties; review; spherical codes; translation schemes; universal bounds; upper bounds; Algebra; Associate members; Binary codes; Combinatorial mathematics; Extraterrestrial measurements; Indium tin oxide; Linear programming; Polynomials; Research and development; Upper bound;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/18.720545
Filename
720545
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