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arXiv 0907.3387cs.ITmath.IT
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秩调制方案中有限幅值误差的校正

Correcting Limited-Magnitude Errors in the Rank-Modulation Scheme

Itzhak Tamo, Moshe Schwartz

摘要:

我们研究的纠错码的排列下无穷范数,一种新的存储方案的闪存调用秩调制的动机。在该方案中,一组$n$闪存单元被组合以创建单个虚拟多级单元。信息存储在由单元电荷水平引起的排列中。尖峰误差,其特征在于细胞电荷水平的一个有限的幅度变化,对应于一个低距离的变化下的无穷大规范。我们定义的代码防止尖峰错误,称为有限幅度秩调制码(LMRM码),并提出了几种构造这些代码,一些导致最佳的代码。这些代码允许简单的递归,有时直接,编码和解码过程。我们还提供了LMRM码的最大尺寸的上下限,在一般情况下,并在代码形成的对称群的一个子群的情况下。在渐近分析中,我们构造的代码优于Gilbert-Varshamov-like界估计。

英文摘要:

We study error-correcting codes for permutations under the infinity norm, motivated by a novel storage scheme for flash memories call rank modulation. In this scheme, a set of $n$ flash cells are combined to create a single virtual multi-level cell. Information is stored in the permutation induced by the cell charge levels. Spike errors, which are characterized by a limited-magnitude change in cell charge levels, correspond to a low-distance change under the infinity norm. We define codes protecting against spike errors, called limited-magnitude rank-modulation codes (LMRM codes), and present several constructions for these codes, some resulting in optimal codes. These codes admit simple recursive, and sometimes direct, encoding and decoding procedures. We also provide lower and upper bounds on the maximal size of LMRM codes both in the general case, and in the case where the codes form a subgroup of the symmetric group. In the asymptotic analysis, the codes we construct out-perform the Gilbert-Varshamov-like bound estimate.

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