基于小波自适应阈值滤波的VMD降噪方法

Research of de-noising method based on variational mode decomposition and wavelet adaptive threshold filter

文章提出了一种基于小波自适应阈值滤波的可变分模式分解(VMD)降噪方法。该方法降噪过程为:先将含噪声信号进行VMD分解,进而将VMD分解分量中含大部分噪声的高频模态分量进行小波自适应阈值滤波降噪,滤波降噪后的分量与其他模态分量重构降噪信号。三个实例表明:所提方法能有效减低信号噪声,适应性广。

A new de-noising method based on variational mode decomposition （ VMD） and wavelet adaptive threshold algorithm is presented in this paper. The method of the de-noising process is as follows ： firstly, the noise signal is de-composed by VMD, and then, the noises contained in the high frequency modal components in the VMD decomposi-tion components are reduced with the wavelet adaptive threshold filtering. Finally, the components of de-noising are reconstructed with other modal components. Three examples show that the proposed method can effectively reduce the signal noise and has wide adaptability.