Trend removal and filtering of TEC data by empirical mode decomposition

被引：0

作者：

Kirichenko, Irina A. ^{[1
]}

Kogogin, Denis A. ^{[1
]}

Nasyrov, Igor A. ^{[1
]}

Maksimov, Denis S. ^{[1
]}

机构：

[1] Kazan Fed Univ, 18 Kremlyovskaya St, Kazan 420008, Russia

来源：

2020 XXXIIIRD GENERAL ASSEMBLY AND SCIENTIFIC SYMPOSIUM OF THE INTERNATIONAL UNION OF RADIO SCIENCE | 2020年

基金：

俄罗斯科学基金会;

关键词：

D O I：

10.23919/ursigass49373.2020.9232330

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页数：4

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