Topics in Nonlinear Time Series Analysis is popular PDF and ePub book, written by Andreas Galka in 2000, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Topics in Nonlinear Time Series Analysis can be Read Online from any device for your convenience.
Topics in Nonlinear Time Series Analysis Book PDF 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.
Detail Book of Topics in Nonlinear Time Series Analysis PDF
- Author : Andreas Galka
- Release : 21 September 2024
- Publisher : World Scientific
- ISBN : 9810241488
- Genre : Mathematics
- Total Page : 368 pages
- Language : English
- PDF File Size : 19,8 Mb
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