Topics In Nonlinear Time Series Analysis, With Implications For Eeg Analysis
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A01=Andreas Galka
Attractor Reconstruction
Author_Andreas Galka
Category=PBT
Chaos
Correlation Dimension
Determinism
EEG
Electroencephalogram
Embedding
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Fractal Dimension
Nonlinear Dynamics
Strange Attractor
Surrogate Data
Time Series Analysis
Product details
- ISBN 9789810241483
- Publication Date: 21 Feb 2000
- Publisher: World Scientific Publishing Co Pte Ltd
- Publication City/Country: SG
- Product Form: Hardback
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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.
