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APPROXIMATIONS IN MEASUREMENT-TODAY STILL NECESSARY?

机译:仍需要今天的近似测量?

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摘要

Because of missing a-priori information, tolerances of the elements used in microelectronics and other circuits, nonlinearities and to check the results of models and calculations or programs especially in measurement estimation and approximation methods using the physical background are advantageous. Also in education these methods to get a first impression of the solutions of problems should be trained. In the paper a lot of typical examples will be treated as signal analysis and aliasing errors, linearisation, dynamic errors and optimal filtering including consequences for the selection of measuring systems.
机译:由于缺少先验信息,所以有利于微电子和其他电路中使用的元件的公差,非线性以及检查模型和计算或程序的结果,尤其是在使用物理背景的测量估计和近似方法中。同样在教育中,应该训练这些方法以对问题的解决方案有第一印象。在本文中,许多典型示例将被视为信号分析和混叠误差,线性化,动态误差和最佳滤波,包括选择测量系统的后果。

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