Window and Overlap Processing Effects on Power Estimates From Spectra

Improved modal parameter estimation for lowly damped systems using non-parametric exponential windowing techniques

“…However, disadvantages of burst random, and transient-like excitation in general, are a worse signal-to-noise ratio and a higher crest factor compared to random noise excitation. [10][11][12], discuss the effects of the exponential and other time-windows on FRF estimation.…”

Periodicity of atmospheric phenomena occurring in the extreme South of Brazil

“…Emery and Thomson (1998) show the importance of using a window to increase the number of degrees of freedom per espectral estimate, raising the statistical reliability of the analysis. Trethewey (2000) discusses about the importance of window overlapping and cites the 50% overlap as a commonly used value for the Hanning window in order to prevent the occurrence of either missing or unequally weighted portions of the time signal. A first analysis was carried out using the integral time series for each station.…”

Numerical Fatigue Analysis of a Prototype Francis Turbine Runner in Low-Load Operation

“…However, it can be difficult to obtain sufficient approximations of frequencies and amplitudes because of shift in periods and noise. Therefore, the Welch method [28] was applied splitting the measured signal into several Hanning windows considering 50% overlap as suggested in [29]. The measured signal was then averaged and the deviations of the amplitude are marked by error bars.…”