KFU. Card publication. Trend removal and filtering of TEC data by empirical mode decomposition

KAZAN
FEDERAL UNIVERSITY

- RUS
- 中文
- ES

TREND REMOVAL AND FILTERING OF TEC DATA BY EMPIRICAL MODE DECOMPOSITION

Form of presentation

Conference proceedings in international journals and collections

Year of publication

2020

Язык

русский

Authors, employees of KFU

Kogogin Denis Aleksandrovich, author

Maksimov Denis Sergeevich, author

Nasyrov Igor Albertovich, author

Authors, students KFU

Kirichenko Irina Andreevna, author

Bibliographic description in the original language

Kirichenko I.A, Kogogin D.A, Nasyrov I.A., Maksimov D.S., Trend removal and filtering of TEC data by empirical mode decomposition // 2020 33nd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2020. - 2020. - Vol.2020-September, Is.. - P.1-4.

Annotation

2020 33nd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2020

Keywords

TEC, GNSS, empirical mode decomposition

The name of the journal

2020 33nd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2020

URL

http://www.ursi.org/proceedings/procGA20/papers/PID6335037.pdf

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=237761&p_lang=2

Resource files

File name	Size (MB)	Format
F_KogoginDA_URSI_2020.pdf	10,06	pdf	show / download

Full metadata record

Field DC	Value	Language
dc.contributor.author	Kogogin Denis Aleksandrovich	ru_RU
dc.contributor.author	Maksimov Denis Sergeevich	ru_RU
dc.contributor.author	Nasyrov Igor Albertovich	ru_RU
dc.contributor.author	Kirichenko Irina Andreevna	ru_RU
dc.date.accessioned	2020-01-01T00:00:00Z	ru_RU
dc.date.available	2020-01-01T00:00:00Z	ru_RU
dc.date.issued	2020	ru_RU
dc.identifier.citation	Kirichenko I.A, Kogogin D.A, Nasyrov I.A., Maksimov D.S., Trend removal and filtering of TEC data by empirical mode decomposition // 2020 33nd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2020. - 2020. - Vol.2020-September, Is.. - P.1-4.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=237761&p_lang=2	ru_RU
dc.description.abstract	2020 33nd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2020	ru_RU
dc.description.abstract	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.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	TEC	ru_RU
dc.subject	GNSS	ru_RU
dc.subject	empirical mode decomposition	ru_RU
dc.title	Trend removal and filtering of TEC data by empirical mode decomposition	ru_RU
dc.type	Conference proceedings in international journals and collections	ru_RU