DocumentCode :
153592
Title :
Enhancement of lightning electric field signals using empirical mode decomposition method
Author :
Huo Yuanlian ; Qi Yongfeng
Author_Institution :
Coll. of Phys. & Electron. Eng., Northwest Normal Univ., Lanzhou, China
fYear :
2014
fDate :
20-23 Sept. 2014
Firstpage :
81
Lastpage :
84
Abstract :
In this paper, a new lightning electric field signals denoising approach based on noise reduction algorithms in empirical mode decomposition(EMD) which was widely used for analyzing nonlinear and nonstationary data was applied. The data from the simulation and measurements were analyzed to evaluate this method comparing with the traditional FIR low-pass filter. The results showed that the denoising methods based on EMD provides very good results for denoising lightning electric field signals and it was effective and superior to the FIR filter method.
Keywords :
atmospheric techniques; data analysis; lightning; noise; EMD; FIR filter method; denoising lightning electric field signal; denoising method; empirical mode decomposition method; lightning electric field signal denoising approach; lightning electric field signal enhancement; measurement data; noise reduction algorithm; nonlinear data analysis; nonstationary data analysis; simulation data; traditional FIR low-pass filter; Educational institutions; Electric fields; Electric variables measurement; Finite impulse response filters; Lightning; Magnetic field measurement; Noise reduction; denoising; empirical mode decomposition(EMD); intrinsic mode functions (IMFs); lightning electric field signals;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Orange Technologies (ICOT), 2014 IEEE International Conference on
Conference_Location :
Xian
Type :
conf
DOI :
10.1109/ICOT.2014.6956604
Filename :
6956604
Link To Document :
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