Wavelet-based analysis of the energy spectrum and its application to Wenchuan earthquake
Shao Huicheng
Abstract
Shao Huicheng
Abstract
The seismic wave is decomposed into components of different frequency bands of wavelet by using the wavelet decomposition transform,then the total energy of structure inputted by seismic wave is decomposed,and the energy distribution in the frequency domain is got,which is a meaningful result.By analysis of the peaks of each sub-component energy spectrum the spectral characteristics of seismic wave can be obtained,at which the spectrum peak occurs.The structural natural period at which the energy is the same as the predominant period of the Fourier spectrum of seismic waves,so it can also be used as a way to estimate the predominant period of the seismic wave.
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The seismic wave is decomposed into components of different frequency bands of wavelet by using the wavelet decomposition transform,then the total energy of structure inputted by seismic wave is decomposed,and the energy distribution in the frequency domain is got,which is a meaningful result.By analysis of the peaks of each sub-component energy spectrum the spectral characteristics of seismic wave can be obtained,at which the spectrum peak occurs.The structural natural period at which the energy is the same as the predominant period of the Fourier spectrum of seismic waves,so it can also be used as a way to estimate the predominant period of the seismic wave.
Key concepts: Wavelet, Seismology, Energy (signal processing), Dispersive body waves, Seismic wave, Energy spectrum, Geology, Frequency domain