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Electronic Archive of Igor Sikorsky Kyiv Polytechnic Institute
Article . 2017
Full-Text: https://ela.kpi.ua/bitstreams/db1fd14e-08cb-423f-b80d-0cc0c55a4a49/download
Data sources: Electronic Archive of Igor Sikorsky Kyiv Polytechnic Institute
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Ефективність алгоритмів попередньої обробки даних в задачі класификації високочастотних біологічних сигналів

descriptionPublicationkeyboard_double_arrow_right Article 01 Sep 2017 Ukrainian Publisher:Міжнародний науково-навчальний центр інформаційних технологій та систем НАН та МОН України

Ефективність алгоритмів попередньої обробки даних в задачі класификації високочастотних біологічних сигналів

Keywords

алгоритми згладжування, smoothing algorithms, экспоненциальное сглаживание, Group Method of Data Handling, exponential smoothing, метод ковзного середнього, експоненціальне згладжування, медианный фильтр, median filter, медіанний фільтр, Moving Average Method, Savitzky-Golay filter, метод групового урахування аргументів, фільтр Савицього-Голая, метод группового учета аргументов, фильтр Савицкого-Голая, алгоритмы сглаживания, метод скользящего среднего

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    popularity
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    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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