机械科学与技术2017，Vol.36Issue(8)：1175-1179,5.DOI:10.13433/j.cnki.1003-8728.2017.0805
改进EMD阈值小波滤波方法
Improved Method of Threshold Wavelet Filter based on EMD
摘要
Abstract
In lower limb rehabilitative training robot,the accuracy of the motor torque identification is seriously affected by the noise of AC servo motor current signal.In order to solve the problem of nonlinear and non-stationary noise signal denoising,an improved threshold wavelet filtering method based on Empirical Mode Decomposition (EMD) is proposed in this paper.The EMD denoising layers and the thresholding function of wavelet threshold are improved.The heavy sine signal in Matlab is used to do simulation experiments.The simulation results show that the improved method can effectively remove the noise of non-linear and non-stationary signal.Compared with other filtering methods,such as EMD and wavelet transforms,the improved method can obtain the maximum SNR (signal-to-noise ratio) and the minimum RMSE (root mean square error),and have better filtering effect.关键词
EMD/小波/阈值函数/信噪比Key words
EMD/threshold function/Matlab/signal-to-noise ratio/wavelet transforms分类
信息技术与安全科学引用本文复制引用
李其建,徐海波..改进EMD阈值小波滤波方法[J].机械科学与技术,2017,36(8):1175-1179,5.基金项目
国家自然科学基金重大研究计划项目(91420301)资助 （91420301）
