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Distributed Recovery of a Gaussian Source in Interference with Successive Lattice Processing

机译:与连续晶格处理干扰的高斯源分布恢复

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摘要

A scheme for recovery of a signal by distributed listeners in the presence of Gaussian interference is constructed by exhausting an “iterative power reduction” property. An upper bound for the scheme’s achieved mean-squared-error distortion is derived. The strategy exposes a parameter search problem, which, when solved, causes the scheme to outperform others of its kind. Performance of a blocklength-one scheme is simulated and is seen to improve over plain source coding without compression in the presence of many interferers, and experiences less outages over ensembles of channels.
机译:通过在高斯干扰存在下通过分布式听众恢复信号的方案来构造通过耗尽“迭代功率减少”属性来构造。导出了该方案实现了平均误差失真的上限。该策略公开了一个参数搜索问题,在解决时,该问题会导致方案倾销其种类的其他人。模拟块的性能的性能,并被视为在存在许多干扰源的存在下改善普通源编码,而不会压缩,并且在频道的集合中不那么缓解。

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