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有关的谱估计的新程序。 小波分析被用来描述地震记录中的时变特征和局部事件。 小波变换正越来越多地应用于各种各样的应用中。各种小波族被检验用于地震谱估计问题。 研究了各种方法对两个加速度记录互谱估计的适用性，并考察了地震记录的空间变异性。 所开发的方法将用于处理少量但具有代表性的重要地震记录，如土耳其的科贾埃利地震事件和加州的北岭地震事件。 通过小波方法获得的地震记录的演化谱内容，对关键建筑设施的安全性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.