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GENERIC HIGH-DIMENSIONAL IMPORTANCE SAMPLING METHODOLOGY

机译:通用的高维重要抽样方法

摘要

A method of circuit yield analysis for evaluating rare failure events includes performing initial sampling to detect failed samples respectively located at one or more failure regions in a multi-dimensional parametric space, generating a distribution of failed samples at discrete values along each dimension, identifying the failed samples, performing a transform to project the failed samples into all dimensions in a transform space, and classifying a type of failure region for each dimension in the parametric space.
机译:一种用于评估罕见故障事件的电路成品率分析方法,包括执行初始采样以检测分别位于多维参数空间中一个或多个故障区域的故障样本,生成沿每个维度的离散值的故障样本分布,失败的样本,执行变换以将失败的样本投影到变换空间中的所有维度,并为参数空间中的每个维度分类失败区域的类型。

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