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There exist two representations of Rank codes: matrix representation and vector representation.
In matrix representation, rank codes are defined as subsets of a normed space \(\left \{{\mathbb{F}}_{q}^{N\times n},\ \textrm{ Rk}\right \}\) of N ×n matrices over a finite (base) field \({\textrm{ F}}_{q}\), where the norm of a matrix \(M \in {\mathbb{F}}_{q}^{N\times n}\) is defined to be the algebraic rank \(\textrm{ Rk}(M)\) of this matrix over \({\mathbb{F}}_{q}\). The rank distance between two matrices \({M}_{1} and {M}_{2}\) is the rank of their difference \(\textrm{ Rk}({M}_{1} - {M}_{2})\). The rank distance of a matrix rank code \(\mathcal{M}\subset {\mathbb{F}}_{q}^{N\times n}\) is defined as the minimal pairwise distance: \(d(\mathcal{M}) = d =\min (\textrm{ Rk}({M}_{i} - {M}_{j}) : {M}_{i},{M}_{j} \in \mathcal{M},\ i\neq j)\). In vector...
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Hua L-K (1951) A theorem on matrices over a field and its applications. Chin Math Soc 1(2):109–163
Delsarte P (1978) Bilinear forms over a finite field, with applications to coding theory. J Comb Theory A 25:226–241
Gabidulin EM (1985) Theory of codes with maximum rank distance. Probl Inf Transm 21(1):1–12
Gabidulin EM, Paramonov AV, Tretjakov OV (1992) Rank errors and rank erasures correction. In: Proceedings of the 4th international colloquium on coding theory, 30 September–7 October 1991, Dilijan, Armenia, pp 11–19, Yerevan, 1992
Gabidulin EM, Pilipchuk NI (2008) Error and erasure correcting algorithms for rank codes. Designs Codes Cryptogr 49:105–122. DOI 10.1007/s10623-008-9185-7
Silva D, Kschischang FR, Koetter R (2008) A rank-metric approach to error control in random network coding. IEEE Trans Inf Theory 54(9):3951–3967
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Gabidulin, E.M. (2011). Rank Codes. In: van Tilborg, H.C.A., Jajodia, S. (eds) Encyclopedia of Cryptography and Security. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-5906-5_387
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DOI: https://doi.org/10.1007/978-1-4419-5906-5_387
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