The De-noising Method of EMD Threshold Based on Correlation

被引：0

作者：

Li Xiaofeng ^{[1
]}

Liu Mingjie ^{[1
]}

机构：

[1] Beijing Inst Technol, Beijing 100081, Peoples R China

来源：

2010 IEEE 10TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS (ICSP2010), VOLS I-III | 2010年

关键词：

Empirical mode decomposition; signal to noise ration; correlation coefficient; signal de-nosing; acoustic passive localization; EMPIRICAL MODE DECOMPOSITION;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

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.

引用

页码：2613 / 2616

页数：4

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