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Encoding of Spatially Coupled LDGM Codes for Lossy Source Compression

机译:空间耦合LDGM码的编码,用于有损源压缩

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摘要

It has been shown that a class of spatially coupled low-density generator-matrix (SC-LDGM) code ensembles displays distortion saturation for the lossy binary symmetric source coding problem with the belief propagation guided decimation (BPGD) algorithm, i.e., the BPGD distortion approaches the optimal expected distortion of the underlying ensemble asymptotically in code length. We investigate the distortion performance of a practical class of protograph-based SC-LDGM code ensembles and demonstrate distortion saturation numerically. Moreover, taking advantage of the convolutional structure of the SC-LDGM codes, we propose an efficient windowed encoding (WE) algorithm with two decimation techniques for lowering the WE complexity that maintain distortion performance close to the rate-distortion bound.
机译:已经表明,一类空间耦合的低密度生成器矩阵(SC-LDGM)代码集合通过有信传播引导抽取(BPGD)算法显示了有损二进制对称源编码问题的失真饱和度,即BPGD失真在代码长度上渐近地逼近基础集合的最佳预期失真。我们研究基于原型的SC-LDGM代码集合的实用类的失真性能,并通过数值证明失真饱和。此外,利用SC-LDGM码的卷积结构,我们提出了一种有效的窗口编码(WE)算法,该算法采用两种抽取技术来降低WE复杂度,从而保持失真率接近速率失真范围。

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