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Article . 2023
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Вейвлеты Мейера с коэффициентом масштабирования N = 12 для классификации сигналов по высокочастотным признакам

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2023 Russian Federation Russian

Вейвлеты Мейера с коэффициентом масштабирования N = 12 для классификации сигналов по высокочастотным признакам

Abstract

Строятся ортогональные вейвлеты Мейера с коэффициентом масштабирования N =12, которые используются для изучения вопроса о классификации сигналов по высокочастотным признакам. Предложенный подход применяется для классификации сигналов электрокардиограмм (ЭКГ). Получено разложение сигналов ЭКГ на отдельные компоненты. Найдены наиболее информативные частотные признаки, которые обеспечивают точность разделения классов более 95%.

Country
Russian Federation
Related Organizations
Keywords

Мейера вейвлеты, ВЧ-компоненты, вейвлет-анализ

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green