A combinatorial filtering method for magnetotelluric data series with strong interference

In highly industrialized areas, magnetotelluric (MT)-induced variations are contaminated by strong manmade noise signals. A method is described as an alternative approach for noise removal, based on a combination of empirical mode decomposition (EMD) with independent component analysis (ICA). The fi...

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Veröffentlicht in:	Arabian journal of geosciences 2016-09, Vol.9 (13), p.1-10, Article 628
1. Verfasser:	Jian-hua, Cai
Format:	Artikel
Sprache:	eng
Schlagworte:	Combinatorial analysis Data Data processing Defects Earth and Environmental Science Earth science Earth Sciences Empirical analysis Filtration Independent component analysis Industrial areas Methods Noise pollution Original Paper Point defects Removal Signal processing Transfer functions Wavelet analysis
Online-Zugang:	Volltext
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