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On concentration of measures for LDPC code ensembles

机译:关于LDPC码集合的措施集中

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This work considers the concentration of measures for low-density parity-check (LDPC) code ensembles. The two results derived in this paper follow from Azuma''s inequality for Doob martingales with bounded differences. The first result is a tightened concentration inequality for the conditional entropy (originally derived by Méasson et al.), and the second result is a concentration inequality for the cardinality of the fundamental systems of cycles of a bipartite graph from the ensemble.
机译:这项工作考虑了低密度奇偶校验(LDPC)代码集合的措施集中。本文得出的两个结果来自Azuma对有界差异的Doob ting的不等式。第一个结果是对条件熵的严格的浓度不等式(最初由Méasson等人得出),第二个结果是对来自集合的二部图的基本循环系统的基数的浓度不等式。

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