The De-noising Method of EMD Threshold Based on Correlation

摘要：

This paper presents the de-noising method of EMD threshold based on correlation, using features of time scale filtering of EMD. Firstly, the sequence of noisy samples are disassembled by EMD to calculate the order of the intrinsic mode function (IMF) of them and calculate the correlation coefficient of IMF Portfolio with different order and Sampling sequence. Secondly, correlation threshold is calculated using signal to noise ratio(SNR) of sampling sequence. Signal-led IMF and noise-led IMF being distinguished using this threshold, we can define these combination of Signal-led IMF as result of de-nosing sampling sequence. The method is an adaptive approach without artificial setting parameters. In the last part of this paper, the method is used to passive acoustic localization research and achieves good results.

关键词： Empirical mode decomposition signal to noise ration correlation coefficient signal de-nosing acoustic passive localization

作者: Li Xiaofeng Liu Mingjie

作者单位: Beijing institute of technology, Beijing, China

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 2613-2616

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）