Intrinsic Mode Entropy for Nonlinear Discriminant Analysis

Several methods of measuring entropy of time series have been developed and applied on physiological signals in order to distinguish data sets according to their underlying nonlinear dynamics. These methods are not well adapted for studying the time series in different scales, in the presence of dom...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE signal processing letters 2007-05, Vol.14 (5), p.297-300
Hauptverfasser:	Amoud, H., Snoussi, H., Hewson, D., Doussot, M., Duchene, J.
Format:	Artikel
Sprache:	eng
Schlagworte:	Biomedical signal processing Data mining Discriminant analysis empirical mode decomposition (EMD) Engineering Sciences Entropy Mathematical analysis Nonlinear dynamics nonlinear systems nonlinear time series analysis Oscillations physiological signals posture Robustness Senior citizens Signal analysis Signal and Image processing Signal processing Signal processing algorithms Stability Time measurement Time series Time series analysis Trends
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!