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A bayesian method for oscillator characterization

机译:一种探讨振荡器特征的贝叶斯方法

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The power spectral density of frequency fluctuations of an oscillator is generally modeled as a sum of power laws with integer exponents (from -2 to +2). However, a power law with a fractional exponent may exist. We propose a method for measuring such a noise level and determining the probability density of the exponent. This yields a criterion for compatibility with an integer exponent. This method is based upon a Bayesian approach called the reference analysis of Bernardo-Berger. The application to a sequence of frequency measurement from a quartz oscillator illustrates this paper.
机译:振荡器的频率波动的功率谱密度通常被建模为具有整数指数的动力规律的总和(从-2到+2)。然而,可能存在具有分数指数的权力法。我们提出了一种用于测量这种噪声水平并确定指数的概率密度的方法。这产生了与整数指数的兼容性的标准。这种方法基于贝叶斯方法称为Bernardo-Berger参考分析。从石英振荡器施加到一系列频率测量序列示出了本文。

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