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 。
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.
出处
《物探化探计算技术》
CAS
CSCD
2000年第1期1-4,共4页
Computing Techniques For Geophysical and Geochemical Exploration
基金
国家杰出青年科学基金资助研究!(编号 :4 952 52 0 4 )
关键词
小波分析
局部化性质
地震动信号
地震勘探
wavelet analysis
local behavior
decomposition and reconstruction
ground motion signals
