General method for empirical data decomposition filtering design

摘要：

　　Based on the research on Empirical Data Decomposition (EDD),the structure for Empirical Data Decomposition is proposed in which the high pass filter is composed of a predictor and an adder.In terms of reconstructing requirement,the filter design rule is presented when the EDD analysis filter and synthesis filter are restricted as FIR filter.The relationship between equivalent synthesis filter and analysis filter is also presented.Finally the structure for the synthesis filter is discussed.Except for the FIR requirement,there is no additional restriction for the predictor,so the filter can be easily designed to satisfy different requirements.EDD is suitable not only for stationary data analysis or piece-wise stationary data analysis but also for non-stationary data analysis.

关键词： EDD filter design FIR Non-stationary Data Analysis

作者: Wu Xiaoqin Guo Zhen Zhang Hongke

作者单位: Electric Information Engineering College, Information technology college,Beijing Jiaotong University Information technology college, Hainan University, Haikou, China, Hainan University, Haikou,China Electric Information Engineering College, Information technology college,Beijing Jiaotong University

会议类型: 国际会议

会议名称: 2012 IEEE 11th International Conference on Signal Processing (第11届IEEE信号处理国际会议)

会议地点: 北京

会议语种:英文

页码: 732-736

在线出版日期: 2012-10-21（万方平台首次上网日期，不代表论文的发表时间）