Denoising and features extraction of distorted waveform based on mean-dilation operator and mean-erosion operator
Jinbao Zhuo, Weifeng Shi, Hengxian Wu, Jie Lü · 2017
An improved method is proposed for the denoising and distortion features extraction of waveform signals. Firstly, the standardized waveform signal is input into the modified alternative mixing type of morphological filter (AMMF), in which the traditional dilation operator and erosion operator are replaced by mean-dilation operator and mean-erosion operator. Then, the distortion features extraction operator is applied to the denoised signal; different geometrical features of different distortions are extracted. The case study results show that the modified AMMF of the proposed method has better smoothness than the traditional, geometrical features of different distortions of waveform signals are successfully extracted.