Random Data Analysis And Measurement Procedures

By K. Burger. 2016

1,308 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/b99f3286af7097302f80ecf584d2a33807d7cebe

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Citations in the corpus

Vibration fatigue using modal decomposition (2018, unknown): “Based on the normal-distributed random-process definition [21] the spectral moments can be calculated in the frequency domain to estimate the cycle-amplitude distribution [22–24].”
Development of the method of operational forecasting of fire in the premises of objects under real conditions (2021, methodology): “In [29], methods are considered that are suitable for identifying hazardous parameters of the state of the IAE during FP.”
Spectral proper orthogonal decomposition and its relationship to dynamic mode decomposition and resolvent analysis (2017, background): “Other windows, which are known to be beneficial in practice (Bendat & Piersol, 2000), can be incorporated into the present analysis by using the windowed data to define each Q(n).”
On the dual iterative stochastic perturbation‐based finite element method in solid mechanics with Gaussian uncertainties (2015, methodology): “The same computer software is programmed to carry out a comparative crude MCS, where statistical estimators of up to the fourth central probabilistic moments and characteristics follow classical definitions [29] and do not contain any higher-order correctors parametrized”
X-ray reverberation around accreting black holes (2014, unknown): “It can thus be used to derive the error on the phase lag (Bendat & Piersol 2010): ∆φ(νj) = √ 1− γ2(νj) 2γ2(νj)KM (12) and the time-lag error is simply ∆τ = ∆φ/(2πνj).”
General framework for transfer path analysis: History, theory and classification of techniques $ (2016, background): “Between 1971 and 1981 Bendat and Piersol provided a comprehensive set of spectral correlation and coherence functions with special attention for digital data acquisition [31–34].”
Mesoscale to submesoscale wavenumber spectra in Drake Passage (2016, unknown): “To calculate the number of independent realizations of one-dimensional llc4320 simulation spectral estimates, we ﬁrst estimate time and length integral scales from autocorrelation functions for daily averaged ﬁelds (e.g., Bendat and Piersol 2010).”