КФУ. Карточка публикации. Spectral analysis of stabilographic signals by Fourier and Hilbert

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SPECTRAL ANALYSIS OF STABILOGRAPHIC SIGNALS BY FOURIER AND HILBERT &NDASH; HUANG METHODS

Форма представления

Статьи в зарубежных журналах и сборниках

Год публикации

2022

Язык

английский

Авторы, сотрудники КФУ

Бикчентаева Лейсан Маратовна, автор

Саченков Оскар Александрович, автор

Тагирова Ирина Сергеевна, автор

Яфарова Гузель Гульусовна, автор

Авторы, аспиранты КФУ

Бикчентаева Лейсан Маратовна, автор

Авторы, студенты КФУ

Дакинова Маргарита Витальевна, автор

Библиографическое описание на языке оригинала

Dakinova M. V. Spectral analysis of stabilographic signals by Fourier and Hilbert – Huang methods/ M. V. Dakinova, L. M. Bikchentaeva, I. S. Tagirova, T. V. Baltina, G. G. Yafarova and O. A. Sachenkov//IEEE Xplore 2022: VIII International Conference on Information Technology and Nanotechnology (ITNT). - 2022. - pp. 1-4, doi: 10.1109/ITNT55410.2022.9848704.

Аннотация

Spectral analysis is an important pipeline step in digital signal processing and significantly effects on received information. Methodical distortions in the information leads to corruptions of properties contained in the signal, and these is an origin of mistaken analysis. The Fourier transform is widespread as such pipeline step, but it limited for processing non-stationary and nonlinear signals. The spectral analysis of the Hilbert-Huang transform has no such limits. The transform is based on the Hilbert spectrum and empirical mode decomposition. The research is focused on the application of the Hilbert-Huang transform to stabilogram data analyses. The method to exarticulate the control factor of the human stability mechanism is developed.

Ключевые слова

Hilbert-Huang transform, empirical mode decomposition, Fourier transform, stabilogram, spectral analysis

Название журнала

IEEE Xplore

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https://repository.kpfu.ru/?p_id=270855

Файлы ресурса

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Полная запись метаданных

Поле DC	Значение	Язык
dc.contributor.author	Бикчентаева Лейсан Маратовна	ru_RU
dc.contributor.author	Саченков Оскар Александрович	ru_RU
dc.contributor.author	Тагирова Ирина Сергеевна	ru_RU
dc.contributor.author	Яфарова Гузель Гульусовна	ru_RU
dc.contributor.author	Дакинова Маргарита Витальевна	ru_RU
dc.contributor.author	Бикчентаева Лейсан Маратовна	ru_RU
dc.date.accessioned	2022-01-01T00:00:00Z	ru_RU
dc.date.available	2022-01-01T00:00:00Z	ru_RU
dc.date.issued	2022	ru_RU
dc.identifier.citation	Dakinova M. V. Spectral analysis of stabilographic signals by Fourier and Hilbert – Huang methods/ M. V. Dakinova, L. M. Bikchentaeva, I. S. Tagirova, T. V. Baltina, G. G. Yafarova and O. A. Sachenkov//IEEE Xplore 2022: VIII International Conference on Information Technology and Nanotechnology (ITNT). - 2022. - pp. 1-4, doi: 10.1109/ITNT55410.2022.9848704.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/?p_id=270855	ru_RU
dc.description.abstract	IEEE Xplore	ru_RU
dc.description.abstract	Spectral analysis is an important pipeline step in digital signal processing and significantly effects on received information. Methodical distortions in the information leads to corruptions of properties contained in the signal, and these is an origin of mistaken analysis. The Fourier transform is widespread as such pipeline step, but it limited for processing non-stationary and nonlinear signals. The spectral analysis of the Hilbert-Huang transform has no such limits. The transform is based on the Hilbert spectrum and empirical mode decomposition. The research is focused on the application of the Hilbert-Huang transform to stabilogram data analyses. The method to exarticulate the control factor of the human stability mechanism is developed.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	Hilbert-Huang transform	ru_RU
dc.subject	empirical mode decomposition	ru_RU
dc.subject	Fourier transform	ru_RU
dc.subject	stabilogram	ru_RU
dc.subject	spectral analysis	ru_RU
dc.title	Spectral analysis of stabilographic signals by Fourier and Hilbert – Huang methods	ru_RU
dc.type	Статьи в зарубежных журналах и сборниках	ru_RU