Topics In Nonlinear Time Series Analysis, With Implications For Eeg Analysis

Download or read book Topics In Nonlinear Time Series Analysis, With Implications For Eeg Analysis written by Andreas Galka and published by World Scientific. This book was released on 2000-02-18 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.