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Bandlimited Signal Reconstruction From the Distribution of Unknown Sampling Locations

机译:来自未知采样位置的分布的带状信号重建

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We study the reconstruction of bandlimited fields from samples taken at unknown but statistically distributed sampling locations. The setup is motivated by distributed sampling where precise knowledge of sensor locations can be difficult. Periodic one-dimensional bandlimited fields are considered for sampling. Perfect samples of the field at independent and identically distributed locations are obtained. The statistical realization of sampling locations is not known. First, it is shown that a bandlimited field cannot be uniquely determined with samples taken at statistically distributed but unknown locations, even if the number of samples is infinite. Next, it is assumed that the order of sample locations is known. In this case, using insights from order-statistics, an estimate for the field with useful asymptotic properties is designed. Distortion (mean squared error) and central-limit are established for this estimate.
机译:我们研究了在未知但统计分布的采样位置所采取的样本的带状字段的重建。该设置是通过分布式采样的动机,其中可以难以实现传感器位置的精确知识。定期一维带限制的字段被认为是采样的。获得在独立和相同分布的位置处的场景的完美样本。采样位置的统计实现是未知的。首先,表明,即使样本数量是无限的,,在统计学上分布但未知位置所拍摄的样本也不能唯一地确定带状字段。接下来,假设样本位置的顺序是已知的。在这种情况下,使用来自秩序统计的见解,设计了设计具有有用渐近属性的字段的估计。为此估计建立失真(均方误差)和中央限制。

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