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Detection of a periodic structure embedded in surface roughness, for various correlation functions

机译:检测嵌入在表面粗糙度中的周期性结构,以获得各种相关函数

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This paper deals with surface pro???lometry, where we try to detect a periodic structure, hidden in randomness using the matched ???lter method of analysing the intensity of light, scattered from the surface. From the direct problem of light scattering from a composite rough surface of the above type, we ???nd that the detectability of the periodic structure can be hindered by the randomness, being dependent on the correlation function of the random part. In our earlier works, we had concentrated mainly on the Cauchy-type correlation function for the rough part. In the present work, we show that this technique can determine the periodic structure of different kinds of correlation functions of the roughness, including Cauchy, Gaussian etc. We study the detection by the matched ???lter method as the nature of the correlation function is varied.
机译:本文涉及表面轮廓测量法,在这里我们尝试使用匹配的滤波器方法分析从表面散射的光强度,以随机的方式检测隐藏的周期性结构。从上述类型的复合粗糙表面散射光的直接问题,我们发现,周期性结构的可检测性可能受随机性的影响,这取决于随机部分的相关函数。在我们早期的工作中,我们主要集中在粗糙部分的柯西型相关函数上。在当前的工作中,我们证明了该技术可以确定粗糙度的各种相关函数(包括柯西,高斯等)的周期性结构。我们研究了用匹配滤波器方法进行检测作为相关函数的性质。是多种多样的。

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