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Interleaving schemes for multidimensional cluster errors

机译:多维簇错误的交织方案

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We present two-dimensional and three-dimensional interleaving techniques for correcting two- and three-dimensional bursts (or clusters) of errors, where a cluster of errors is characterized by its area or volume. Correction of multidimensional error clusters is required in holographic storage, an emerging application of considerable importance. Our main contribution is the construction of efficient two-dimensional and three-dimensional interleaving schemes. The proposed schemes are based on t-interleaved arrays of integers, defined by the property that every connected component of area or volume t consists of distinct integers. In the two-dimensional case, our constructions are optimal: they have the lowest possible interleaving degree. That is, the resulting t-interleaved arrays contain the smallest possible number of distinct integers, hence minimizing the number of codewords required in an interleaving scheme. In general, we observe that the interleaving problem can be interpreted as a graph-coloring problem, and introduce the useful special class of lattice interleavers. We employ a result of Minkowski, dating back to 1904, to establish both upper and lower bounds on the interleaving degree of lattice interleavers in three dimensions. For the case t/spl equiv/0 mod 6, the upper and lower bounds coincide, and the Minkowski lattice directly yields an optimal lattice interleaver. For t/spl ne/0 mod 6, we construct efficient lattice interleavers using approximations of the Minkowski lattice.
机译:我们提出了二维和三维交织技术,用于校正二维和三维错误突发(或群集),其中错误群集的特征是其面积或体积。全息存储中需要对多维误差簇进行校正,这是一个非常重要的新兴应用。我们的主要贡献是构建有效的二维和三维交织方案。所提出的方案基于整数的t交织数组,该数组由以下属性定义:面积或体积t的每个连接部分都由不同的整数组成。在二维情况下,我们的结构是最佳的:它们具有最低的交织度。也就是说,所得的t交错阵列包含最小数目的不同整数,因此使交错方案中所需的码字的数目最小。通常,我们观察到交织问题可以解释为图着色问题,并介绍了有用的特殊类晶格交织器。我们采用Minkowski的结果(可追溯到1904年)来建立三维交织的交织度的上下边界。对于t / spl equiv / 0 mod 6的情况,上限和下限重合,并且Minkowski晶格直接产生最佳晶格交织器。对于t / spl ne / 0 mod 6,我们使用Minkowski晶格的近似值构造有效的晶格交错器。

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