| Literature DB >> 12779839 |
Rainer Hegger1, Holger Kantz, Thomas Schreiber.
Abstract
We describe the implementation of methods of nonlinear time series analysis which are based on the paradigm of deterministic chaos. A variety of algorithms for data representation, prediction, noise reduction, dimension and Lyapunov estimation, and nonlinearity testing are discussed with particular emphasis on issues of implementation and choice of parameters. Computer programs that implement the resulting strategies are publicly available as the TISEAN software package. The use of each algorithm will be illustrated with a typical application. As to the theoretical background, we will essentially give pointers to the literature. (c) 1999 American Institute of Physics.Year: 1999 PMID: 12779839 DOI: 10.1063/1.166424
Source DB: PubMed Journal: Chaos ISSN: 1054-1500 Impact factor: 3.642