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Extended averaging and data windowing techniques in phase-stepping measurements: an approach using the characteristic polynomial theory

机译:Extended averaging and data windowing techniques in phase-stepping measurements: an approach using the characteristic polynomial theory

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摘要

The extended averaging technique and the data windowing technique used in phase-stepping are investigated using the characteristic polynomials. It is shown that the phase measurement algorithms derived using the extended averaging technique arenot in general more efficient and may require more samples than those obtained directly from the rules of the characteristic polynomial theory.
机译:利用特征多项式研究了相位步进中使用的扩展平均技术和数据窗口技术。结果表明,使用扩展平均技术推导的相位测量算法通常效率不高,并且可能比直接从特征多项式理论的规则中获得的算法需要更多的样本。

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