作为幂律噪声估计器的西奥H和艾伦偏差。（注：“ThêoH”可能是特定名称，这里直接保留原文音译）

ThêoH and Allan deviation as power-law noise estimators.

作者信息

McGee Jennifer A, Howe David A

出版信息

IEEE Trans Ultrason Ferroelectr Freq Control. 2007 Feb;54(2):448-52. doi: 10.1109/tuffc.2007.260.

DOI:10.1109/tuffc.2007.260

Abstract

A spectral interpretation using the frequency sensitivity of the Allan variance (Avar) and Thêo-Hybrid (ThêoH) is used to determine falpha noise, or "power-law noise." ThêoH has narrower chi-square confidence than Avar; consequently, ThêoH provides significantly better determination of falpha noise types at long term. Furthermore, ThêoH has even narrower confidence than chi-square. Because the algorithms used to calculate these confidence intervals are computationally intensive, we have constructed an empirical formula that approximates confidence intervals as the percent error for ThêoH.

摘要

利用阿伦方差（Avar）和西奥混合法（ThêoH）的频率灵敏度进行频谱解释，以确定fα噪声或“幂律噪声”。与Avar相比，ThêoH的卡方置信区间更窄；因此，在长期情况下，ThêoH能显著更好地确定fα噪声类型。此外，ThêoH的置信区间甚至比卡方更窄。由于用于计算这些置信区间的算法计算量很大，我们构建了一个经验公式，将ThêoH的置信区间近似为百分比误差。