Abstract
In atmospheric turbulence, high-frequency recorded data yields extremely intermittent and multi-scale signals (see Figure 1.1). To investigate the physical processes responsible for the fluctuations, large amounts of data must be analyzed. Therefore, that is why the first step in an analysis often consists of looking for some characteristic time-scales in the data. One time-scale is, for instance, the mean period between events in the signal (T); another deals with the mean duration of the same events (D in Figure 1.1).
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Reference
S. Collineau and Y. Brunet. Detection of turbulent coherent motions in a forest canopy; Part II: time-scales and conditional averages. Boundary-Layer Meteorol., 65:380–402, 1993.
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© 1994 Springer Science+Business Media Dordrecht
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Collineau, S. (1994). Some remarks about the scalograms of wavelet transform coefficients. In: Byrnes, J.S., Byrnes, J.L., Hargreaves, K.A., Berry, K. (eds) Wavelets and Their Applications. NATO ASI Series, vol 442. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-1028-0_15
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DOI: https://doi.org/10.1007/978-94-011-1028-0_15
Publisher Name: Springer, Dordrecht
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