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Method for the rapid estimation of figures of merit for multiple devices based on nonlinear modeling

机译:基于非线性建模的多种设备品质因数快速估计方法

摘要

A system and a general method estimate figures of merit based on nonlinear modeling and nonlinear time series analysis. Terms in a nonlinear behavioral model that depend on nonlinear combinations of a fixed input signal value are precomputed, optimizing the behavioral model such that figures of merit are evaluated from a single short stimulus vector. The optimized nonlinear behavioral model can then be applied to evaluate figures of merit for multiple devices under test (DUTs) in a manufacturing line. A process continually verifies and adjusts the nonlinear behavioral model based on sub-sampling multiple DUTs in a manufacturing line and comparing their figures of merit based on nonlinear modeling with those based on conventional measurement procedures.
机译:一种系统和通用方法基于非线性建模和非线性时间序列分析来评估绩效指标。预先计算了非线性行为模型中依赖于固定输入信号值的非线性组合的项,从而优化了行为模型,从而可以从单个短激励向量中评估品质因数。然后,可以将优化的非线性行为模型应用于评估生产线中多个被测设备(DUT)的品质因数。一个过程会基于对生产线中的多个DUT进行二次采样,并基于非线性建模将其品质因数与基于常规测量程序的品质因数进行比较,从而不断验证和调整非线性行为模型。

著录项

  • 公开/公告号US6892155B2

    专利类型

  • 公开/公告日2005-05-10

    原文格式PDF

  • 申请/专利权人 KEVIN GEE;NICHOLAS B. TUFILLARO;

    申请/专利号US20020299169

  • 发明设计人 KEVIN GEE;NICHOLAS B. TUFILLARO;

    申请日2002-11-19

  • 分类号G01D3/00;G01M19/00;

  • 国家 US

  • 入库时间 2022-08-21 22:19:04

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