Denoising and Features Extraction of Distorted Waveform based on Mean-dilation Operator and Mean-erosion Operator

摘要：

　　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.

关键词： Distorted waveforms denoising and features extraction mean-dilation operator mean-erosion operator formatting alternative mixing type of morphological filter

作者: Jinbao Zhuo Weifeng Shi Hengxian Wu Jie Lu

作者单位: Department of Electrical Automation,Shanghai Maritime University Shanghai,China

会议类型: 国际会议

会议名称: 2017 IEEE 2nd Advanced Information Technology,Electronic and Automation Control Conference(IAEAC 2017)(2017 IEEE 第2届先进信息技术、电子与自动化控制国际会议)

会议地点: 重庆

会议语种:英文

页码: 1449-1453

在线出版日期: 2017-03-25（万方平台首次上网日期，不代表论文的发表时间）