Analysis of Electrochemical Noise by Power Spectral Density Applied to Corrosion Studies Maximum Entropy Method or Fast Fourier Transform

作者: U. Bertocci , J. Frydman , C. Gabrielli , F. Huet , M. Keddam

DOI: 10.1149/1.1838714

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摘要: The fast Fourier transform and the maximum entropy method (MEM) provide algorithms for estimation of power spectral density (PSD) fluctuations. Both have been employed analysis electrochemical noise in corrosion studies, claims made concerning superiority one with respect to other. In this paper, two methods are compared assess their relative advantages. A summary principles MEM is given its main properties investigated. particular, effect on spectrum accuracy varying number coefficients computing validity low-frequency plateau PSD usually produced by technique examined. Also, robustness when random process not completely stable, instance, presence signal drifts or slowly amplitude results presented may be used as a guideline choose best computation function measurement conditions.

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