2020
DOI: 10.1016/j.ffa.2019.101606
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Squares of matrix-product codes

Abstract: The component-wise or Schur product C * C ′ of two linear error-correcting codes C and C ′ over certain finite field is the linear code spanned by all component-wise products of a codeword in C with a codeword in C ′ . When C = C ′ , we call the product the square of C and denote it C * 2 . Motivated by several applications of squares of linear codes in the area of cryptography, in this paper we study squares of so-called matrixproduct codes, a general construction that allows to obtain new longer codes from s… Show more

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Cited by 10 publications
(2 citation statements)
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“…The best binary construction available in the literature is the one in [2] obtained from cyclic codes, but their constellation is quite limited. A larger constellation can be found at [4].…”
Section: Introductionmentioning
confidence: 95%
See 1 more Smart Citation
“…The best binary construction available in the literature is the one in [2] obtained from cyclic codes, but their constellation is quite limited. A larger constellation can be found at [4].…”
Section: Introductionmentioning
confidence: 95%
“…Such a SSS is enough to construct an information theoretic secure secret sharing scheme if at most t players are corrupted [1,8,11]. This application shows the importance of finding linear codes where d(C ⊥ ) is also high relative to the length of the code, where C ⊥ is the dual code of C. Although in this work we have not focused in maximizing d(C ⊥ ) (this is also the case of other articles in the literature as [2,4]), we note that for the affine variety codes considered in this article, the dual of C is again an affine variety code that can be easily constructed by [17,Proposition 1]. Moreover, its minimum distance can also be estimated using the footprint bound.…”
Section: Introductionmentioning
confidence: 99%