DOI: 10.1007/978-3-540-87448-5_6
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On Rank and Kernel of ℤ4-Linear Codes

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Cited by 15 publications
(26 citation statements)
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“…In their paper, Hammons et al also gave an explanation to one of the outstanding problems in coding theory, that the weight enumerators of the non-linear Kerdock codes and the Preparata codes satisfy the MacWilliams identities. The first member of both of these families is the well-known Nordstrom-Robinson code N , which is a non-linear (16,256,6) binary code with several interesting properties. It is optimal, in the sense that it is the largest possible binary code of length 16 with minimum distance 6, and it is twice as large as any linear binary code with the same length and minimum distance.…”
Section: Introductionmentioning
confidence: 99%
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“…In their paper, Hammons et al also gave an explanation to one of the outstanding problems in coding theory, that the weight enumerators of the non-linear Kerdock codes and the Preparata codes satisfy the MacWilliams identities. The first member of both of these families is the well-known Nordstrom-Robinson code N , which is a non-linear (16,256,6) binary code with several interesting properties. It is optimal, in the sense that it is the largest possible binary code of length 16 with minimum distance 6, and it is twice as large as any linear binary code with the same length and minimum distance.…”
Section: Introductionmentioning
confidence: 99%
“…It is optimal, in the sense that it is the largest possible binary code of length 16 with minimum distance 6, and it is twice as large as any linear binary code with the same length and minimum distance. Moreover, Snover [40] proved that any binary (16,256,6) code is equivalent to the Nordstrom-Robinson code. Analogous properties also hold for the punctured Nordstrom-Robinson code, a non-linear (15,256,5) code.…”
Section: Introductionmentioning
confidence: 99%
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“…It is well known that the kernel of a binary code is the intersection of all maximal linear subspaces and that the code is the union of cosets of the kernel; see [9], [10] for details.…”
Section: Introductionmentioning
confidence: 99%
“…In [9], [10], various bounds are put on the rank and size of the kernel for arbitrary quaternary codes. In this work, these bounds are significantly refined for the cyclic case.…”
Section: Introductionmentioning
confidence: 99%