Smoothness estimates of low-frequency microseisms using dyadic wavelets

Category: 13-1
S.A. Stroganov



UDC 519.677



S.A. Stroganov


Russian State Geological Prospecting University, Moscow, Russia



Properties of seismic noise waveform can be described by various characteristics. In this paper certain options for the quantitative description of the smoothness of the waveform are disscused. We consider two families of dyadic orthogonal wavelets, for which precise ratios of smoothness are known, and an algorithm for assessing the smoothness of the low-frequency microseisms using the discrete wavelet transform. In addition, estimates of the smoothness of microseisms noise from broadband seismic network F-net, using a family of classical Daubechies wavelets, and the families of dyadic wavelets were obtained. It is shown that the considered dyadic wavelets can be used to estimate the smoothness of the low-frequency microseisms along with the Daubechies wavelets.

Keywords: waveform smoothness parameters, seismic noise, earthquake prediction, dyadic wavelets.



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