DocumentCode :
3446651
Title :
Empirical mode decomposition with wavelet de-noising
Author :
Zhang, Yong-De ; Hou, Meng ; Liu, Zeng-Li ; Xie, Ping
Author_Institution :
Fac. of Inf. Eng. & Autom., Kunming Univ. of Sci. & Technol., Kunming, China
Volume :
1
fYear :
2010
fDate :
29-31 Oct. 2010
Firstpage :
183
Lastpage :
186
Abstract :
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 de-noising 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.
Keywords :
signal denoising; wavelet transforms; empirical mode decomposition; intrinsic mode function; signal recovery; wavelet threshold denoising; Noise reduction; Signal to noise ratio; EMD; IMF; MSE; SNR; wavelet denoising;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-6582-8
Type :
conf
DOI :
10.1109/ICICISYS.2010.5658649
Filename :
5658649
Link To Document :
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