Empirical Mode Decomposition with Wavelet De-noising

摘要：

In order to solve the signal during transmission on the external mixture of noise, this paper presents the wavelet de-noising based on empirical mode decomposition (EMD), with Wu and others view that the previous order intrinsic mode function (IMF) components need for the wavelet de-noising, and with the wavelet threshold de-noising method and directly remove the high frequency components of EMD denoising results compared, by using some objective criteria as the main criteria to evaluate the quality of signal recovery, the results show that the method of wavelet de-noising based on EMD is very effective and stable.

关键词： EMD IMF wavelet demising MSE SNR

作者: ZHANG Yong-de LIU Zeng-li HOU Meng XIE Ping

作者单位: Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunmi Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunmi

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems(2010 IEEE 智能计算与智能系统国际会议 ICIS 2010)

会议地点: 厦门

会议语种:英文

页码: 183-186

在线出版日期: 2010-10-29（万方平台首次上网日期，不代表论文的发表时间）