On the peak factor of stationary Gaussian processes

Abstract New simple approximate formulae are introduced for the average and the standard deviation of the peak factor of stationary Gaussian processes. The formulae take into account the bandwidth of the process and are based on the assumption that the extreme point process is Markovian. Also presented are simulation results for various spectral shapes (response of the linear oscillator to a white noise, bimodal spectrum, and ideal bandpass process). These suggest that none of the currently available bandwidth parameters can represent accurately the overall effect of the spectral shape on the peak factor. The approximate formulae, however, give reasonable estimates, if one excludes bimodal spectra with very light modal damping. The various definitions of the envelope process (essential in the Markov approximation) are reviewed and unified.

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