The Study and Application of the Empirical Mode Decomposition in Geochemical Data Processing

This paper attempts to use empirical mode decomposition, based on Hilbert-Huang transform, in geochemical data processing, and proposes a new method of scale space filtering. The paper 1:10,000 soil data in Ciweigou-Canglin, Yanbian region, Jilin Province is used here for research. Numerical and real data tests demonstrate that empirical mode decomposition with the Fourier transform denoising can eliminate noise and delineate the geochemical anomalies.