WebJun 17, 2016 · coherence function, complex wavelet transform and spectral kurtosis. The analysis results have demonstrated that the cyclic coherence function can detect the … WebA cyclostationary process is a signal having statistical properties that vary cyclically with time. A cyclostationary process can be viewed as multiple interleaved stationary …
Cyclostationary-based tools for bearing diagnostics
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(PDF) Defining the wavelet bispectrum - Academia.edu
WebCyclostationary models allow this spectral correlation to be exploited. This paper presents a signal detector that exploits spectral correlation to determine the presence or absence of a cyclostationary signal in noise. The detector's probability of false alarm is analytically derived. Computer simulations verify that the analytical derivation ... WebOct 1, 2024 · Thus, many classical methods for detection of cyclostationarity are based on the analysis of autocovariance in time and frequency domain. In the frequency analysis, one of the most powerful tool is... WebR. WilliamA.GARDNE. Published 2003. A spectral correlation theory for cyclostationary time-series is introduced. It is established that a time-series is cyclostationary if and only if there exists a quadratic time-invariant transformation that generates spectral lines, and this is so if and only if the time-series exhibits spectral correlation. shannon library