基于小波变换的突变信号的检测  

The singularity signal detection based on twavelet transform

作　　者：余倩[1] 

机构地区：[1]东华理工大学机械与电子工程学院

出　　处：《湖南农机（学术版）》2012年第6期103-104,108,共3页Hunnan Agricultural Machinery

摘　　要：当今运用小波变换这一新的数学工具,对于由基本平稳的慢变信号和阶跃型突变信号线性组合构成的这类信号,一种以小波变换为主体的检测和分析方法已得到应用。文章以突变信号中的地震突变信号为例,通过使用小波变换的理论分析方法,同时辅以Matlab仿真,达到对于突变信号突变点的检测与分析。Today the use of wavelet transform --this new mathematical tool , the type of signal by the the basic smooth slowly varying signal , and the signal a linear combioation of step-type mutations constitute a wavelet transform as the main testing and analysis methods have been applied . Taking the seismic signal in mutational signal as an example, by using the method of theoretical analysis of wavelet transform, supplemented matlab simulation, reach for detection and analysis of the mutational site in mutation signals.

关 键 词：小波变换 突变信号 MATLAB 

分 类 号：TN911.23[电子电信—通信与信息系统]