The baseline wander correction based on the improved ensemble empirical mode decomposition (EEMD) algorithm for groundedelectrical source airborne transient electromagnetic signals

GSTDTAP > 资源环境科学

DOI	10.5194/gi-9-443-2020
	The baseline wander correction based on the improved ensemble empirical mode decomposition (EEMD) algorithm for groundedelectrical source airborne transient electromagnetic signals
	admin
	2020-12-16
出版年	2020
国家	欧洲
领域	气候变化 ; 资源环境
英文摘要	The baseline wander has special characteristics, such as being low frequency, large amplitude, non-periodic, and non-stationary. It is caused by the receiving coil motion and always exists in the process of data acquisition. The proposed method can be used to solve similar problems. This paper has the following highlights: (1) the method can be used to process non-periodic and non-stationary signals; (2) the method is adaptive to satisfy the stopping criterion based on the measured signal.
URL	查看原文
来源平台	European Geosciences Union
引用统计
文献类型	科技报告
条目标识符	http://119.78.100.173/C666/handle/2XK7JSWQ/308421
专题	资源环境科学气候变化
推荐引用方式 GB/T 7714	admin. The baseline wander correction based on the improved ensemble empirical mode decomposition (EEMD) algorithm for groundedelectrical source airborne transient electromagnetic signals,2020.