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Windowed encoding of spatially coupled LDGM codes for lossy source compression

机译:用于有损源压缩的空间耦合LDGM码的窗口编码

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Recently, 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. Here, we investigate the distortion performance of a practical class of protograph-based SC-LDGM code ensembles and demonstrate distortion saturation numerically. Moreover, we propose an efficient windowed encoding (WE) algorithm that takes advantage of the convolutional structure of the SC-LDGM codes. By using the WE algorithm, a distortion very close to the rate-distortion limit can be achieved for a fixed compression rate with low-to-moderate encoding latency.
机译:最近,已经显示出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。 BPGD失真在代码长度上渐近地逼近基础整体的最佳预期失真。在这里,我们研究基于原型的SC-LDGM代码集合的实用类别的失真性能,并通过数值证明失真饱和度。此外,我们提出了一种有效的窗口编码(WE)算法,该算法利用了SC-LDGM码的卷积结构。通过使用WE算法,对于具有低到中等编码等待时间的固定压缩率,可以实现非常接近速率失真极限的失真。

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