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Quantile estimation by virtual probability method and application to waveform estimation with jitter noise

机译:虚拟概率法分位数估计及其在抖动噪声波形估计中的应用

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In this paper, a method to estimate quantiles of an unknown distribution without storing the collected data is proposed. By adding virtual samples according to the designed algorithm, the method transforms the problem of finding of quantile to the one of finding the median of a virtual distribution, such that the simple stochastic "Up and Down" model can be applied. Simulation results show good performance on the Gaussian distribution, especially at both the extreme ends of the quantiles. The application to signal estimation under jitter noise is demonstrated.
机译:本文提出了一种无需存储收集到的数据即可估计未知分布的分位数的方法。通过根据设计的算法添加虚拟样本,该方法将找到分位数的问题转换为找到虚拟分布的中位数的问题,从而可以应用简单的随机“上下”模型。仿真结果表明,在高斯分布上表现出良好的性能,尤其是在分位数的两个极端处。演示了在抖动噪声下信号估计的应用。

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