A Modified Mode Cell Filtering Approach Base on Advanced Empirical Mode Decomposition

摘要：

A modified mode cell filtering (MCF) approach, which is a novel de-noising method and based on advanced empirical mode decomposition (AEMD), is presented in this paper. The detailed procedures are provided and four examples are given to show the validity of the proposed de-noising method. Firstly, AEMD decomposes a multi-component signal x(t) into a number of the so-called intrinsic mode functions (IMFs). Secondly in every IMF the mode cells are defined between the two adjacent zero-crossings. Then the de-noising IMFs are got by using the modified thresholds. Finally the de-noising signal X (t) will be reconstruction by the de-noising IMFs. To test the above de-noising scheme, numerical simulations for four test signals are performed. Experimental results substantiate that the proposed method for signal noise separation could separate noises from noise-polluted signals more efficiently.

关键词： Signal De-noising Mode Cell Filter Empirical Mode Decomposition

作者: Huimin Li Yan Li Yong He

作者单位: College of Mechanical Engineering Donghua University Shanghai, 201620, China

会议类型: 国际会议

会议名称: 2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)

会议地点: 上海

会议语种:英文

页码: 2274-2277

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）