Efficient Estimation of the Evolutionary Spectra of Earthquate Signals Based on Wavelet Analysis

该研究项目探讨了与地震数据处理相关的频谱估计的新方法。用小波分析方法描述地震记录的时变特征和局部事件。小波变换在各种应用中得到越来越广泛的应用。研究了各种小波族在地震谱估计问题中的应用。研究了各种估计两种加速度交叉谱方法的适用性，并检验了地震记录的空间变异性。所开发的方法将应用于处理来自重要地震的少量但具有代表性的记录，例如土耳其的Kocaeli地震事件和加利福尼亚州的Northridge地震事件。利用小波变换方法得到的地震记录的演化谱含量，对关键设施的安全防护具有潜在的应用价值。

The research program examines novel procedures of spectral estimation related to the processing of seismic data. Wavelet analysis is employed to describe the time-dependent characteristics and localized events present in earthquake records. The wavelet transform is increasingly being used in a variety of applications.Various wavelets families are examined for use in seismic spectrum estimation problems. The suitability of the various methods for estimating the cross spectra of two accelerograms is investigated, and the spatial variability of seismic records examined. The method developed will be applied in processing a small but representative number of records from important earthquakes, such as the Kocaeli seismic event in Turkey, and the Northridge seismic event in California. The evolutionary spectral content of seismic records, obtained via the wavelet method, has potential application to the safety of critical constructed facilities.