The spectral kurtosis: a useful tool for characterising non-stationary signals

作者: Jérôme Antoni

DOI: 10.1016/J.YMSSP.2004.09.001

关键词: KurtosisSignal processingCalculusSpectral densityMathematicsCondition monitoringNoiseFrequency domainAlgorithmSignal-to-noise ratioEstimator

摘要: The spectral kurtosis (SK) is a statistical tool which can indicate the presence of series of transients and their locations in the frequency domain. As such, it helpfully supplements the classical power spectral density, which as is well known, completely eradicates non-stationary information. In spite of being particularly suited to many detection problems, the SK had rarely been used before now, probably because it lacked a formal definition and a well-understood estimation procedure. The aim of this paper is to partly fill these gaps. We …

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