Unveiling Potential Field Seperation with Emperical Mode Decomposition | Chapter 2 | Research Advances in Environment, Geography and Earth Science Vol. 2

This paper proposes utilizing the Empirical Mode Decomposition (EMD) method for separating potential field data. EMD, a novel data analysis approach, is adept at handling non-stationary and nonlinear data, earning recognition in signal processing for its filtering and decomposition capabilities. Its output, termed “Residual,” resembles the regional anomaly found in potential field data, yet it operates without preset parameters, distinguishing it from contemporary field separation methods. Application of this method to magnetic data from the Jianshandian mine in Hubei, China facilitates the construction of a 2.5D inverse model, aiding in inference generation.

Author(s) Details:

S. Morris Cooper,
Institude of Geophysucs and Geomatics, China University of Geosciences, Wuhan, China.

Liu Tianyou,
Institude of Geophysucs and Geomatics, China University of Geosciences, Wuhan, China.

Innocent Ndoh Mbue,
Faculty of Earth Sciences, State Key Laboratory for Geological Processes and Mineral Resources, China and Department of Physics, University of Liberia, Liberia.

Please see the link here: https://stm.bookpi.org/RAEGES-V2/article/view/14207