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- W184452372 abstract "In this paper the Empirical Mode Decomposition (EMD) method and Hilbert-Huang transform are used to analyse experimental homogeneous turbulence time series. With this method, one can decompose nonlinear time series into a sum of different modes, each narrow-banded. Here we consider experimental turbulent velocity time series with a large Reynolds number (Reλ = 720). The Fourier power spectrum reveals a wide inertial range with a classical �5/3 Kolmogorov power-law spectrum. We show that the EMD method applies very nicely to the turbulent velocity time series, with a dyadic filter bank in the inertial range. We estimate the Fourier power spectra of each mode, showing that adding more and more modes corresponds to including lower and lower frequencies. This filtering property can have interesting applications in the field of turbulence modelling. We estimate the Hilbert-Huang power spectrum of the turbulent time series and show its scaling properties, with an exponent different from �5/3." @default.
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- W184452372 date "2007-01-01" @default.
- W184452372 modified "2023-09-23" @default.
- W184452372 title "Empirical Mode Decomposition Analysis of Experimental Homogeneous Turbulence Time Series" @default.
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