Trend removal and filtering of TEC data by empirical mode decomposition

Abstract

© 2020 URSI. This article describes a method of empirical mode decomposition that allows processing nonlinear and nonstationary signals. This method was used to remove the trend and filter the data of slant total electron content (hereinafter TEC). The results obtained are compared with the most commonly used approaches to processing total electron content data, which include digital filtering methods such as moving average filtering and removing the trend from the data of total electron content by subtracting approximating polynomials.