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Zero-Error Slepian–Wolf Coding of Confined-Correlated Sources With Deviation Symmetry

机译:具有偏差对称性的受限相关信源的零误差Slepian-Wolf编码

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In this paper, we use linear codes to study zero-error Slepian–Wolf coding of a set of sources with deviation symmetry, where the sources are generalization of the Hamming sources over an arbitrary field. We extend our previous codes, generalized Hamming codes for multiple sources, to matrix partition codes and use the latter to efficiently compress the target sources. We further show that every perfect or linear-optimal code is a matrix partition code. We also present some conditions when matrix partition codes are perfect and/or linear-optimal. Detail discussions of matrix partition codes on Hamming sources are given at last as examples.
机译:在本文中,我们使用线性代码研究具有偏差对称性的一组源的零误差Slepian-Wolf编码,其中源是汉明源在任意域上的推广。我们将先前的代码(用于多个源的通用汉明代码)扩展到矩阵分区代码,并使用后者来有效地压缩目标源。我们进一步证明,每个完美或线性最优代码都是矩阵分区代码。当矩阵划分码是完美的和/或线性最优的时,我们还提出了一些条件。最后,以汉明源为例,详细讨论了矩阵划分码。

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