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Finite-length analysis of the TEP decoder for LDPC ensembles over the BEC

机译:BEC上用于LDPC集合的TEP解码器的有限长度分析

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In this work, we analyze the finite-length performance of low-density parity check (LDPC) ensembles decoded over the binary erasure channel (BEC) using the tree-expectation propagation (TEP) algorithm. In a previous paper, we showed that the TEP improves the BP performance for decoding regular and irregular short LDPC codes, but the perspective was mainly empirical. In this work, given the degree-distribution of an LDPC ensemble, we explain and predict the range of code lengths for which the TEP improves the BP solution. In addition, for LDPC ensembles that present a single critical point, we propose a scaling law to accurately predict the performance in the waterfall region. These results are of critical importance to design practical LDPC codes for the TEP decoder.
机译:在这项工作中,我们使用树期望传播(TEP)算法分析了在二进制擦除信道(BEC)上解码的低密度奇偶校验(LDPC)集合的有限长度性能。在先前的论文中,我们表明,TEP提高了对规则和不规则短LDPC码进行解码的BP性能,但这种观点主要是出于经验。在这项工作中,考虑到LDPC集合的度分布,我们解释和预测了TEP改进BP解决方案的代码长度范围。此外,对于呈现单个临界点的LDPC集成,我们提出了一个定标律,以准确预测瀑布区域的性能。这些结果对于为TEP解码器设计实用的LDPC码至关重要。

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