【摘要】 因均值滤波对高斯白噪声具有好的降噪能力和小波变换具有高频降噪和特征提取的优点,提出结合两者方法来实现强噪声干扰下弱冲击特征信号的提取。三种不同阈值的小波变换被运用。仿真结果表明改进阈值的小波变换具有更好的效果,信噪比得以大幅度提高,误差均方根很大程度减小,对弱周期特征信号的提取具有十分重要的意义和应用价值。更多还原

【Abstract】 Based on mean filtering with good denoising capability for white Gaussian noise and wavelet transform with high frequency denoising and singularity detection capabilities,a new method combining mean filtering and wavelet transform is proposed for extracting weak periodic impact signal in heavy noise background.Three different thresholds of wavelet transform are used to extract feature.The simulation results show that the wavelet filtering with improved threshold has the best effect.The SNR(Signal to Noise Ratio) are greatly improved and RMSE(Root Mean Square Error) are greatly reduced.The proposed method has an excellent effect on extracting weak periodic impact feature and has very strong practicability.更多还原