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The Hilbert-Huang Transform as a method and tool to support..:
, In:
2022 IEEE International Conference on Automation/XXV Congress of the Chilean Association of Automatic Control (ICA-ACCA)
,
Cordova, Felisa
;
Cifuentes, Fernando
;
Diaz, Hernan
- p. 1-4 , 2022
Link:
https://doi.org/10.1109/ICA-ACCA56767.2022.10005897
RT T1 <cTitle>2022 IEEE International Conference on Automation/XXV Congress of the Chilean Association of Automatic Control (ICA-ACCA)</cTitle>: T1 <Title>The Hilbert-Huang Transform as a method and tool to support the analysis of non-linear and non-stationary electroencephalographic signals</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10005897&Exemplar=1&LAN=DE A1 Cordova, Felisa A1 Cifuentes, Fernando A1 Diaz, Hernan YR 2022 K1 Wavelet transforms K1 Time-frequency analysis K1 Automatic frequency control K1 Time series analysis K1 Harmonic analysis K1 Electroencephalography K1 Time-domain analysis K1 Filters K1 Hilbert Huang Transform K1 Non-periodic signals K1 non-stationary signals SP 1 OP 4 LK http://dx.doi.org/https://doi.org/10.1109/ICA-ACCA56767.2022.10005897 DO https://doi.org/10.1109/ICA-ACCA56767.2022.10005897 SF ELIB - SuUB Bremen
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