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小波分析是一种新的数学方法 ,因具有良好的时频局部化性质而优于传统的傅立叶分析。地震动是由于地震引起的地面运动 ,其时间历程函数表现为具有突变特征的非平稳随机过程 ,因此更适于利用小波变换进行频谱分析。我们在总结小波分析基本原理和方法的基础上 ,首次利用小波变换分别对地震动加速度时程和速度时程进行了分解和重构 ,对地震动信号分解结果做了相应频谱分析 ,并对其小波分析的工程意义进行了初步探索
Wavelet analysis is a new mathematical method, which is superior to traditional Fourier analysis because of its good time-frequency localization. Earthquake is caused by the earthquakes caused by the ground movement, the time history of the function as a mutation with non-stationary stochastic process, and therefore more suitable for the use of wavelet transform spectrum analysis. Based on the summary of the basic principles and methods of wavelet analysis, we decompose and reconstruct the acceleration time history and velocity time history of the ground motion using wavelet transform for the first time, and do the corresponding spectrum analysis on the result of the ground motion signal decomposition. The significance of wavelet analysis is explored