DocumentCode :
1434797
Title :
Semidefinite Code Bounds Based on Quadruple Distances
Author :
Gijswijt, Dion C. ; Mittelmann, Hans D. ; Schrijver, Alexander
Author_Institution :
CWI, Amsterdam, Netherlands
Volume :
58
Issue :
5
fYear :
2012
fDate :
5/1/2012 12:00:00 AM
Firstpage :
2697
Lastpage :
2705
Abstract :
Let A(n,d) be the maximum number of 0, 1 words of length n , any two having Hamming distance at least d. It is proved that A(20,8)=256, which implies that the quadruply shortened Golay code is optimal. Moreover, it is shown that A(18,6) ≤ 673, A(19,6) ≤ 1237, A(20,6) ≤ 2279, A(23,6) ≤ 13674, A(19,8) ≤ 135, A(25,8) ≤ 5421, A(26,8) ≤ 9275, A(27,8) ≤ 17099, A(21,10) ≤ 47, A(22,10) ≤ 84, A(24,10) ≤ 268, A(25,10) ≤ 466, A(26,10) ≤ 836, A(27,10) ≤ 1585, A(28,10) ≤ 2817, A(25,12) ≤ 55, and A(26,12) ≤ 96. The method is based on the positive semidefiniteness of matrices derived from quadruples of words. This can be put as constraint in a semidefinite program, whose optimum value is an upper bound for A(n,d). The order of the matrices involved is huge. However, the semidefinite program is highly symmetric, by which its feasible region can be restricted to the algebra of matrices invariant under this symmetry. By block diagonalizing this algebra, the order of the matrices will be reduced so as to make the program solvable with semidefinite programming software in the above range of values of n and d.
Keywords :
Golay codes; matrix algebra; Golay code; Hamming distance; matrix algebra; quadruple distances; semidefinite code bounds; semideflnite programming software; Educational institutions; Matrices; Polynomials; Programming; Symmetric matrices; Upper bound; Algebra; code; error-correcting; programming; semidefinite;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.2012.2184845
Filename :
6142090
Link To Document :
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