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Robust ADC testing with very long time records An Adaptive Fourier Analyzer based approach

机译:具有很长时间记录的强大ADC测试基于自适应傅立叶分析器的方法

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A common method to test AD converters is the sine fitting. If very large dataset needs to be processed (long records), the iterative four parameter sine fit algorithm is very sensitive to the initial value of the fundamental frequency estimator. Even a very slight error in the initial guess can spoil the fit because of the local minima in the error surface. We propose a robust algorithm to fit the sine wave with a resonator based state observer, together with an Adaptive Fourier Analyzer (AFA). The method has the advantage that amplitude and frequency drift can also be detected and compensated.
机译:正弦拟合是测试AD转换器的常用方法。如果需要处理非常大的数据集(长记录),则迭代四参数正弦拟合算法对基本频率估算器的初始值非常敏感。由于误差表面中的局部极小值,即使是最初的猜测中即使是很小的误差也会破坏拟合。我们提出了一种鲁棒的算法,以将正弦波与基于谐振器的状态观测器以及自适应傅里叶分析仪(AFA)配合使用。该方法的优点在于,振幅和频率漂移也可以被检测和补偿。

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