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Chaotic Time Series Analysis
Author
Source
Mathematical Problems in Engineering
Issue
Vol. 2010, Issue 2010 (31 Dec. 2010), pp.1-31, 31 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2010-04-13
Country of Publication
Egypt
No. of Pages
31
Main Subjects
Abstract EN
Chaotic dynamical systems are ubiquitous in nature and most of them does not have an explicit dynamical equation and can be only understood through the available time series.
We here briefly review the basic concepts of time series and its analytic tools, such as dimension, Lyapunov exponent, Hilbert transform, and attractor reconstruction.
Then we discuss its applications in a few fields such as the construction of differential equations, identification of synchronization and coupling direction, coherence resonance, and traffic data analysis in Internet.
American Psychological Association (APA)
Liu, Zonghua. 2010. Chaotic Time Series Analysis. Mathematical Problems in Engineering،Vol. 2010, no. 2010, pp.1-31.
https://search.emarefa.net/detail/BIM-493222
Modern Language Association (MLA)
Liu, Zonghua. Chaotic Time Series Analysis. Mathematical Problems in Engineering No. 2010 (2010), pp.1-31.
https://search.emarefa.net/detail/BIM-493222
American Medical Association (AMA)
Liu, Zonghua. Chaotic Time Series Analysis. Mathematical Problems in Engineering. 2010. Vol. 2010, no. 2010, pp.1-31.
https://search.emarefa.net/detail/BIM-493222
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-493222