Bounds on the cardinality of subspace codes with non-maximum code distance (Q2068654)
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scientific article; zbMATH DE number 7460161
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Bounds on the cardinality of subspace codes with non-maximum code distance |
scientific article; zbMATH DE number 7460161 |
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Bounds on the cardinality of subspace codes with non-maximum code distance (English)
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20 January 2022
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This paper studies subspace codes with nonmaximum code distance. The subspace distance between two subspaces \(U, V \in \mathrm{GF}(q)^n\) is \[d_{\text{sub}}(U,V) = \dim(U) + \dim(V) -2\dim(U\cap V ).\] If \(U, V\) are of the same dimension \(m,\) the subspace distance equals \(d_{\text{sub}}(U, V)=2(m-\dim(U\cap V)) = 2\delta\), \(\delta=m-\dim(U\cap V)\) known as the Grassmannian metric. Families of nonspreads based on using the Silva-Kotter-Kschischang (SKK) subspace code construction and Gabidulin-Bossert multicomponent codes with zero prefix (MZP) are considered. Numerical estimates for cardinalities of nonspreads for a large number of parameters are given. Moreover, it is shown that for large dimensions all the three codes almost attain the maximum cardinality bound given by the Johnson inequality \[M(n + 1,d_{\text{sub}},m + 1)\leq \frac{q^{n+1}-1}{q^{m+1}-1}M(n, d_{\text{sub}}, m).\] The authors present examples of nonspreads with the best values of the cardinality against previously known subspace codes with the same parameters.
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finite field
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code
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spreads
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decoding
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space
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subspace
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code cardinality
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rank metric
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