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Extracting Wyner's common randomness using polar codes

机译:使用极性码提取Wyner的公共随机性

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Explicit construction of polar codes for the Gray-Wyner network is studied. We show that Wyner's common information plays an essential role in constructing polar codes for both lossless and lossy Gray-Wyner problems. For discrete sources, extracting Wyner's common randomness can be viewed as a lossy compression problem, which is accomplished by extending polar coding from a single source to a pair of sources with doubled alphabet size. We show that the lossless Gray-Wyner region can be achieved by an upgraded or degraded version of the common randomness. For joint Gaussian sources, we prove that extracting Wyner's common randomness is equivalent to lossy compression for a single Gaussian source, which implies that it can be extracted by a polar lattice for quantization.
机译:研究了Gray-Wyner网络的极性代码的显式构造。我们表明,Wyner的公共信息在构造无损和有损Gray-Wyner问题的极代码中起着至关重要的作用。对于离散信号源,提取Wyner的公共随机性可被视为有损压缩问题,这是通过将极性编码从单个信号源扩展到字母大小加倍的一对信号源来实现的。我们表明,可以通过公共随机性的升级或降级版本来实现无损Gray-Wyner区域。对于联合高斯源,我们证明提取Wyner的公共随机性等效于单个高斯源的有损压缩,这意味着可以通过极坐标格进行提取以进行量化。

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