A Bayesian Method for Oscillator Characterization
OBSERVATOIRE DE BESANCON (FRANCE)
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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.
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