2019
DOI: 10.48550/arxiv.1908.03804
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New Constructions of Subspace Codes Using Subsets of MRD codes in Several Blocks

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Cited by 3 publications
(9 citation statements)
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“…We remark that very recently, based on Theorem 2.1, Chen et.al [3] and Heinlein [15] generalized linkage constructions to establish some lower bounds of CDCs independently.…”
Section: Parallel Constructionmentioning
confidence: 99%
See 1 more Smart Citation
“…We remark that very recently, based on Theorem 2.1, Chen et.al [3] and Heinlein [15] generalized linkage constructions to establish some lower bounds of CDCs independently.…”
Section: Parallel Constructionmentioning
confidence: 99%
“…We always denote by γ i , 0 ≤ i ≤ n − 1, the number of dots in the i-th column of F. Given positive integers m and n, and 1 3,4,5], where…”
Section: Ferrers Diagram Rank-metric Codesmentioning
confidence: 99%
“…Finally, Theorem 19 was improved by Chen, He, Weng, and Xu in [2] by allowing the dimensions of the ambient spaces to vary. This is the so-called parallel linkage construction.…”
Section: For 3 ≤ K ≤ S +mentioning
confidence: 99%
“…One main problem for the constant dimension subspace coding is to determine the maximal possible size A q (n, d, k) of such a code for given parameters n, d, k, q. We refer to papers [9,7,8,22,11,15,24,1,14,20,19,3,18] and the nice webpage [12] for latest constructions and references. The presently known best constant dimension subspace codes for n ≤ 19, q ≤ 9 are listed in the table in the webpage [12].…”
Section: Introductionmentioning
confidence: 99%
“…Many presently best records of constant dimension subspace codes are from the Cossidente-Kurz-Marino-Pavese combining construction in [3]. Though there are various good constructions [24,1,14,20,19,3,18] since 2018, it seems that for many small parameter cases there are still big gaps between the presently known best upper bounds and lower bounds. This observation leads us to believe that there are some places in the present constructions which are needed to be filled with some new k-dimensional subspaces while the subspace distance can be preserved.…”
Section: Introductionmentioning
confidence: 99%