We study the capability of rank codes to correct so-called symmetric errors beyond the [d-1/2] bound. If d ≥ n+1/2, then a code can correct symmetric errors up to the maximal possible rank [n-1/2]. If d ≤ n/2, then the error capacity depends on relations between d and n. If (d + j) n, j = 0, 1,..., m - 1, for some m, but (d + m) , then a code can correct symmetric errors up to rank [d+m-1/2]. In particular, one can choose codes correcting symmetric errors up to rank d - 1, i.e., the error capacity for symmetric errors is about twice more than for general errors. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Pilipchuk, N. I., & Gabidulin, E. M. (2006). On codes correcting symmetric rank errors. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3969 LNCS, pp. 14–21). Springer Verlag. https://doi.org/10.1007/11779360_2
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