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Magnetotelluric Signal-Noise Identification and Separation Based on ApEn-MSE and StOMP

Natural magnetotelluric signals are extremely weak and susceptible to various types of noise pollution. To obtain more useful magnetotelluric data for further analysis and research, effective signal-noise identification and separation is critical. To this end, we propose a novel method of magnetotel...

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Detalles Bibliográficos
Autores principales:	Li, Jin, Cai, Jin, Peng, Yiqun, Zhang, Xian, Zhou, Cong, Li, Guang, Tang, Jingtian
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2019
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514680/ https://www.ncbi.nlm.nih.gov/pubmed/33266912 http://dx.doi.org/10.3390/e21020197

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