Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/3324
Title: Linear programming bounds for doubly-even self-dual codes
Authors: Krasikov, I
Keywords: distance distribution; self-dual codes; upper bounds
Issue Date: 1997
Publisher: IEEE
Citation: Information Theory, IEEE Transactions on. 43 (4) 1238-1244
Abstract: Using a variant of linear programming method we derive a new upper bound on the minimum distance d of doubly-even self-dual codes of length n. Asymptotically, for n growing, it gives d/n <=166315 + o(1), thus improving on the Mallows– Odlyzko–Sloane bound of 1/6. To establish this, we prove that in any doubly even-self-dual code the distance distribution is asymptotically upper-bounded by the corresponding normalized binomial distribution in a certain interval.
URI: http://bura.brunel.ac.uk/handle/2438/3324
Appears in Collections:Dept of Mathematics Research Papers
Mathematical Sciences

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