Performance prediction of adaptive filters for EEG signal (Englisch)
Freier Zugriff
- Neue Suche nach: Ahirwal, Mitul Kumar
- Neue Suche nach: Kumar, Anil
- Neue Suche nach: Singh, Girish Kumar
- Neue Suche nach: Londhe, Narendra Digambar
- Neue Suche nach: Ahirwal, Mitul Kumar
- Neue Suche nach: Kumar, Anil
- Neue Suche nach: Singh, Girish Kumar
- Neue Suche nach: Londhe, Narendra Digambar
In:
IET Science, Measurement & Technology
;
11
, 5
;
525-531
;
2017
- Aufsatz (Zeitschrift) / Elektronische Ressource
-
Titel:Performance prediction of adaptive filters for EEG signal
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Beteiligte:Ahirwal, Mitul Kumar ( Autor:in ) / Kumar, Anil ( Autor:in ) / Singh, Girish Kumar ( Autor:in ) / Londhe, Narendra Digambar ( Autor:in )
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Erschienen in:IET Science, Measurement & Technology ; 11, 5 ; 525-531
-
Verlag:
- Neue Suche nach: The Institution of Engineering and Technology
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Erscheinungsdatum:01.08.2017
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Format / Umfang:7 pages
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ISSN:
-
DOI:
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Medientyp:Aufsatz (Zeitschrift)
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Format:Elektronische Ressource
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Sprache:Englisch
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Schlagwörter:adaptive filters , adaptive filtering , EEG signal , recursive filters , regression analysis , SNR , space complexity , EEG‐ERP noise removal , electroencephalography‐event related potential noise removal , least mean squares methods , extrapolation , least mean square error algorithm , prediction theory , electroencephalography , computational complexity , time complexity , curve fitting , polynomial regression , polynomials , signal denoising , medical signal processing , recursive LMS algorithm , interpolation , signal‐to‐noise ratio
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Datenquelle:
Inhaltsverzeichnis – Band 11, Ausgabe 5
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