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Effective noise in thresholded intensity distribution: influence on centroid statistics

机译:阈值强度分布中的有效噪声:对质心统计的影响

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摘要

It is usual to preprocess data before reduction, but it is not so common to study how this operation affects the final results. Determination of the centroid is a relevant task for many optical measurement devices, and the centroid is very often calculated over thresholded data. The influence of preprocessing thresholding algorithms on the statistical properties of intensity data affected by additive Gaussian noise is described as a different effective additive signal perturbation. Theoretical, simulated, and experimental analyses of the model of the effective noise were performed, and good agreement among the analyses was obtained. Direct extension of the analyses from the influence of preprocessing to centroid determination is also presented.
机译:通常在还原之前先对数据进行预处理,但是研究此操作如何影响最终结果并不普遍。质心的确定是许多光学测量设备的重要任务,并且质心通常是在阈值数据之上计算的。预处理阈值算法对受加性高斯噪声影响的强度数据的统计特性的影响被描述为不同的有效加性信号扰动。对有效噪声模型进行了理论,模拟和实验分析,并在分析之间取得了良好的一致性。还提出了从预处理的影响到质心确定的直接扩展分析。

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