ENERGY CHARACTERISTIC OF DISCRETE WAVELET TRANSFORMS: APPLICATION FOR TRIBOLOGICAL AND PHYSIOLOGICAL SIGNALS
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The article deals with the problem of nonstationary signals analysis obtained under different experimental condi-tions. The new estimation method of the spectral energy density parameters of a signal and its details obtained for the discrete wavelet decomposition is suggested. The efficiency of the method is tested for profilograms of the metallic samples surface and kinetic tremor arising while keeping isometric force of the human hand. Action parameters analysis for the profilogram enables us to elucidate the energy structure of the friction surface layers. Analysis of time series of kinetic tremor with action parameters allows distinguishing the difference between healthy patients from a Parkinson tremor.
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