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小波实时阈值消噪在信号分析中的应用
Application of the Real Time Wavelet Shrinkage in Signal Analysis
【摘要】 针对小波阈值法不能实现在线消噪的缺陷,提出了一种基于滑动窗口思想的实时小波消噪算法。通过在M atlab中建立小波实时消噪算法S函数,并进行了含白噪声的矩形波信号消噪仿真实验,计算结果表明,小波实时阈值算法显著降低了数据信号中的噪声水平,为时变、非线性复杂系统实时消噪提供了一种新的方法。
【Abstract】 A real time wavelet de-noising arithmetic based on a moving window was established because wavelet threshold method can not handle signal online.A S-function of real time wavelet de-noising arithmetic based on Matlab was set up,the simulation test for the de-noising of a rectangular wave signal containing white noise was made.The results show that the real time wavelet de-noising reduces the noise in the data signal.It provides a new approach for the real-time de-noising of variable and non-linear complex system.
【关键词】 小波分析;
实时消噪;
阈值法;
S函数;
【Key words】 Wavelet analysis; Real time de-noising; Wavelet threshold; S function;
【Key words】 Wavelet analysis; Real time de-noising; Wavelet threshold; S function;
【基金】 江苏省教育厅项目(06KJD460054)
- 【文献出处】 机床与液压 ,Machine Tool & Hydraulics , 编辑部邮箱 ,2009年04期
- 【分类号】TN911.6
- 【被引频次】5
- 【下载频次】153