ISCS 2013: Interdisciplinary Symposium on Complex SystemsEvolutionary Systems in Complex Signal Analysis
ISCS 2013: Interdisciplinary Symposium on Complex Systems: Evolutionary Systems in Complex Signal...
Brandejsky, Tomas
2014-02-16 00:00:00
[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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ISCS 2013: Interdisciplinary Symposium on Complex SystemsEvolutionary Systems in Complex Signal Analysis
[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.]
Published: Feb 16, 2014
Keywords: Complex system signals; Signal analysis; Evolutionary systems; Generic programming algorithm
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