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地震动信号的小波分析
引用本文:范留明,黄润秋,吉随旺.地震动信号的小波分析[J].物探化探计算技术,2000,22(1):1-4.
作者姓名:范留明  黄润秋  吉随旺
作者单位:成都理工学院,环工院,四川,成都,610059
基金项目:国家杰出青年科学基金资助研究!(编号 :4 952 52 0 4 )
摘    要: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。地震动是由于地城引起的地面运动,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。

关 键 词:小波分析  局部化性质  地震动信号  地震勘探
文章编号:1001—1749(2000)01—0001—04
修稿时间:1999-10-13

WAVELET ANALYSIS FOR GROUND MOTION SIGNALS
FAN Liu-ming,HUANG Run-qiu,JI sui-wang.WAVELET ANALYSIS FOR GROUND MOTION SIGNALS[J].Computing Techniques For Geophysical and Geochemical Exploration,2000,22(1):1-4.
Authors:FAN Liu-ming  HUANG Run-qiu  JI sui-wang
Institution:FAN Liu-ming,HUANG Run-qiu,JI sui-wang; (College of Environment and Civil Engineering,Chengdu
Abstract:Wavelet analysis is a new method of mathematics. Because of its good local behavior in time domain and in frequency domain, it is better for processing the highly random varying signals than classic Fourier analysis. The ground motion time function is a kind of time serial signals, which is a highly varying and nonstationary randow procedure and fit for wavelet analysis. Based on summary of theory and method of wavelet analysis, time history functions of acceleration and velocity are represented and reconstructed and obtained results are analyzed. The engineering significance of wavelet analysis for ground motion signals is also discussed primarily.
Keywords:wavelet analysis  local behavior  decomposition and reconstruction  ground motion signals
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