Analyzing subtle features of natural time series by means of a wavelet-based approach

The present paper is devoted to the development of methods and approaches intended for the analysis of natural time series. Due to the strong variability, irregularity, and complex structure of the time series in question, the problem of automatic processing, i.e., in automatic mode, is rather compl...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Pattern recognition and image analysis Jg. 22; H. 2; S. 323 - 332
Hauptverfasser:	Mandrikova, O. V., Solovjev, I. S., Geppener, V. V., Klionskiy, D. M.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Moscow Nauka/Interperiodica 01.04.2012 Springer Nature B.V
Schlagworte:	Analysis Computer Science Far East Fourier transforms Geophysics Image Processing and Computer Vision Image processing systems Magnetic fields Magnetism Natural time Neural networks Noise Pattern Recognition Processing Recognition Representation Russia Signal processing Studies Time series Understanding of Images Villages Wavelet transforms multiscale structure wavelets Earth’s magnetic field geophysical data perturbations natural time series best wavelet basis
ISSN:	1054-6618, 1555-6212
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!