Orthonormal wavelet expansion is applied to experimental data of turbulence. A direct relation is found between the wavelet spectrum and the Fourier spectrum. The orthonormal wavelet analysis with conditional sampling is applied to data of wind turbulence, yielding Kolmogorov’s spectrum and the dissipation correlation with the intermittency exponent µ≃0.2.
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Yamada et al. (1990) studied this question.