Topics in nonlinear time series analysis: with implications for EEG analysis
This book provides a thorough review of a class of powerful algorithms for the numerical analysis of complex time series data which were obtained from dynamical systems. These algorithms are based on the concept of state space representations of the underlying dynamics, as introduced by nonlinear dy...
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| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Singapore
World Scientific Pub. Co.
c2000
|
| Series: | Advanced series in nonlinear dynamics
v. 14 |
| Subjects: | |
| Online Access: | FHN01 Volltext |
| Summary: | This book provides a thorough review of a class of powerful algorithms for the numerical analysis of complex time series data which were obtained from dynamical systems. These algorithms are based on the concept of state space representations of the underlying dynamics, as introduced by nonlinear dynamics. In particular, current algorithms for state space reconstruction, correlation dimension estimation, testing for determinism and surrogate data testing are presented - algorithms which have been playing a central role in the investigation of deterministic chaos and related phenomena since 1980. Special emphasis is given to the much-disputed issue whether these algorithms can be successfully employed for the analysis of the human electroencephalogram |
| Physical Description: | xv, 342 p. ill |
| ISBN: | 9789812813237 |
Staff View
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| id | DE-604.BV044636344 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:57:49Z |
| institution | BVB |
| isbn | 9789812813237 |
| language | English |
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| physical | xv, 342 p. ill |
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| series2 | Advanced series in nonlinear dynamics |
| spelling | Galka, Andreas Verfasser aut Topics in nonlinear time series analysis with implications for EEG analysis Andreas Galka Singapore World Scientific Pub. Co. c2000 xv, 342 p. ill txt rdacontent c rdamedia cr rdacarrier Advanced series in nonlinear dynamics v. 14 This book provides a thorough review of a class of powerful algorithms for the numerical analysis of complex time series data which were obtained from dynamical systems. These algorithms are based on the concept of state space representations of the underlying dynamics, as introduced by nonlinear dynamics. In particular, current algorithms for state space reconstruction, correlation dimension estimation, testing for determinism and surrogate data testing are presented - algorithms which have been playing a central role in the investigation of deterministic chaos and related phenomena since 1980. Special emphasis is given to the much-disputed issue whether these algorithms can be successfully employed for the analysis of the human electroencephalogram Time-series analysis Nonlinear theories Chaotic behavior in systems Electroencephalography / Mathematics Nichtlineare Zeitreihenanalyse (DE-588)4276267-4 gnd rswk-swf Nichtlineare Zeitreihenanalyse (DE-588)4276267-4 s 1\p DE-604 Erscheint auch als Druck-Ausgabe 9789810241483 Erscheint auch als Druck-Ausgabe 9810241488 http://www.worldscientific.com/worldscibooks/10.1142/4286#t=toc Verlag URL des Erstveroeffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Galka, Andreas Topics in nonlinear time series analysis with implications for EEG analysis Time-series analysis Nonlinear theories Chaotic behavior in systems Electroencephalography / Mathematics Nichtlineare Zeitreihenanalyse (DE-588)4276267-4 gnd |
| subject_GND | (DE-588)4276267-4 |
| title | Topics in nonlinear time series analysis with implications for EEG analysis |
| title_auth | Topics in nonlinear time series analysis with implications for EEG analysis |
| title_exact_search | Topics in nonlinear time series analysis with implications for EEG analysis |
| title_full | Topics in nonlinear time series analysis with implications for EEG analysis Andreas Galka |
| title_fullStr | Topics in nonlinear time series analysis with implications for EEG analysis Andreas Galka |
| title_full_unstemmed | Topics in nonlinear time series analysis with implications for EEG analysis Andreas Galka |
| title_short | Topics in nonlinear time series analysis |
| title_sort | topics in nonlinear time series analysis with implications for eeg analysis |
| title_sub | with implications for EEG analysis |
| topic | Time-series analysis Nonlinear theories Chaotic behavior in systems Electroencephalography / Mathematics Nichtlineare Zeitreihenanalyse (DE-588)4276267-4 gnd |
| topic_facet | Time-series analysis Nonlinear theories Chaotic behavior in systems Electroencephalography / Mathematics Nichtlineare Zeitreihenanalyse |
| url | http://www.worldscientific.com/worldscibooks/10.1142/4286#t=toc |
| work_keys_str_mv | AT galkaandreas topicsinnonlineartimeseriesanalysiswithimplicationsforeeganalysis |