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On Counting Short Cycles of LDPC Codes Using the Tanner Graph Spectrum

机译:使用Tanner图谱计算LDPC码的短周期

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Counting short cycles in bipartite graphs is a fundamental problem of interest in the analysis and design of low-density parity-check (LDPC) codes. The vast majority of research in this area is focused on algorithmic techniques. Most recently, Blake and Lin proposed a computational technique to count the number of cycles of length g in a bi-regular bipartite graph, where g is the girth of the graph. The information required for the computation is the node degree and the multiplicity of the nodes on both sides of the partition, as well as the eigenvalues of the adjacency matrix of the graph (graph spectrum). In this work, we extend this result. First, we derive a similar result to compute the number of cycles of length g + 2, ..., 2g - 2, for bi-regular bipartite graphs. Second, using a counter-example, we demonstrate that the information of the degree distribution and the spectrum of a bi-regular bipartite graph is, in general, insufficient to count the cycles of length i ≥ 2g.
机译:计算二部图中的短周期是低密度奇偶校验(LDPC)代码的分析和设计中关注的基本问题。该领域的绝大多数研究都集中在算法技术上。最近,布雷克和林提出了一种计算技术,用于计算双正则二部图中长度为g的循环数,其中g是图的周长。计算所需的信息是分区两侧的节点度和节点的多样性,以及图(图谱)的邻接矩阵的特征值。在这项工作中,我们扩展了这一结果。首先,对于双正则二部图,我们得出相似的结果来计算长度为g + 2,...,2g-2的循环数。其次,通过一个反例,我们证明了双正则二部图的度分布和频谱信息通常不足以计算长度为i≥2g的循环。

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