Abstract
All complex systems presenting chaotic behaviour are non-linear ones and many problems of their analysis and modelling are caused by application of linear or pseudo-linear models which are not able to represent all aspects of signals generated by these systems. Experiments with some natural-based signal data like e.g. EEG ones concluded presence of typical composite periodic functions, like sin(sin(x)). These functions have specific behaviours which will be presented. Especially, they are non-stationar, have continuous spectrum and thus it is hard to apply usual tools like Fourier transform. To analyse these signals, evolutionary GPA-ES system was used.
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Acknowledgments
This work was supported by the research project of MŠMT ČR No 6840770043 “Improvement of methods of design and employment of transportation networks from optimization viewpoint”.
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Brandejsky, T. (2014). Evolutionary Systems in Complex Signal Analysis. In: Sanayei, A., Zelinka, I., Rössler, O. (eds) ISCS 2013: Interdisciplinary Symposium on Complex Systems. Emergence, Complexity and Computation, vol 8. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45438-7_10
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DOI: https://doi.org/10.1007/978-3-642-45438-7_10
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