Low-frequency noise suppressing of desert seismic data by improved nonlinear autoregressive with external input neural network

Low-frequency signal and noise are the main components of seismic data in Northwest China desert area. To remove noise and preserve data details, we introduce a method of nonlinear autoregressive with external input neural network (NARX) which is based on recent developments in nonlinear time series...

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Vydané v:	Exploration geophysics (Melbourne) Ročník 53; číslo 1; s. 66 - 76
Hlavní autori:	Li, Guanghui, Lu, Xuan, Liang, Meiyan, Feng, Zhiqiang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Taylor & Francis 02.01.2022
Predmet:	filtering Low-frequency noise seismic exploration
ISSN:	0812-3985, 1834-7533
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