摘要
通过探究小波分析特性选取适合微地震信号处理的基本小波,并以实测微地震信号为例,论述了利用MATLAB小波工具箱成功实现微地震信号处理的过程。利用对称小波函数sym8、启发式阈值选择规则、软阈值函数、5层分解等参数实现了信号的自动去噪,经检验去噪效果良好。通过尺度-频率转换成功绘制出频率-时间-小波系数图和时间频率谱,为分析信号时频同步特性提供了有效手段。
We selected an appropriate wavelet basis for the processing of micro-seismic signal by investigating the characteristics of some wavelet bases.We also addressed the process of employing the wavelet toolbox in MATLAB to perform the processing of the measured micro-seismic signal.Sym8 wavelet basis,the heuristic threshold selection rule,soft threshold function and five-layer decomposition were employed to automatically suppress signal noise,which was shown to have better noise suppression effect.We drew a frequency-time wavelet coefficients chart and time-frequency spectrum（TFS） by scale-frequency conversion,which provided an effective approach for analyzing the characteristic of signal time and frequency synchronization.
出处
《山东科学》
CAS
2011年第3期64-68,74,共6页
Shandong Science
基金
山东省自主创新成果转化重大专项(2008ZHZX1A0308)
山东省科学院科学技术发展计划(鲁科院字[2008]102号)
关键词
小波分析
sym8小波
多分辨率
微地震监测
时频谱
wavelet analysis
sym8 wavelet
multi-resolution
micro-seismic detection
time and frequency spectrum
