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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2018.1
- 수록면
- 251 - 261 (11page)
이용수
초록· 키워드
오류제보하기
With the urbanization in recent years, the power line interference noise in electromagnetic signal is increasing day by day, and has gradually become an unavoidable component of noises in magnetotelluric signal detection. Therefore, a kind of power line interference noise elimination method based on independent component analysis in wavelet domain for magnetotelluric signal is put forward in this paper. The method first uses wavelet decomposition to change single-channel signal into multi-channel signal, and then takes advantage of blind source separation principle of independent component analysis to eliminate power line interference noise. There is no need to choose the layer number of wavelet decomposition and the wavelet base of wavelet decomposition according to the observed signal. On the treatment effect, it is better than the previous power line interference removal method based on independent component analysis. Through the de-noising processing to actual magnetotelluric measuring data, it is shown that this method makes both the apparent resistivity curve near 50 Hz and the phase curve near 50 Hz become smoother and steadier than before processing, i.e., it effectively eliminates the power line interference noise.
목차
등록된 정보가 없습니다.
참고문헌 (25)
참고문헌 신청
Berdichevsky, M. N. / 1976 / Geoelectric & Geothermal Studies. KAPG Geophysical Monograph / Akademiai Kiado :165~221
Cai, J. H. / 2016 / A combinatorial filtering method for magnetotelluric data series with strong interference / Arabian Journal of Geosciences 9(13):628
Chen, R. / 2009 / Random noise and coherent interference estimation of MT instrument / 2008 International Conference on Computer and Electrical Engineering :368~372
He, L. F. / 2001 / Waveletbased denoising of MT time series / Journal of earthquake geology 23(2):222~226
Hyvärinen, A. / 1999 / Fast and robust fixed-point algorithms for independent component analysis / IEEE Transactions on Neural Networks 10(3):626~634
Cai, J. H. / 2016 / A combinatorial filtering method for magnetotelluric data series with strong interference / Arabian Journal of Geosciences 9(13):628
Chen, R. / 2009 / Random noise and coherent interference estimation of MT instrument / 2008 International Conference on Computer and Electrical Engineering :368~372
He, L. F. / 2001 / Waveletbased denoising of MT time series / Journal of earthquake geology 23(2):222~226
Hyvärinen, A. / 1999 / Fast and robust fixed-point algorithms for independent component analysis / IEEE Transactions on Neural Networks 10(3):626~634
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