A method based upon the statistical evaluation of the differentiability of the measure along the trajectory is used to identify determinism in high-dimensional systems. The results show that the method is suitable for discriminating stochastic from deterministic systems even if the dimension of the latter is as high as 13. The method is shown to succeed in identifying determinism in electroencephalogram signals simulated by means of a high-dimensional system. © 2001 The American Physical Society.

Detecting determinism in high-dimensional chaotic systems

Degli Esposti Boschi;
2002

Abstract

A method based upon the statistical evaluation of the differentiability of the measure along the trajectory is used to identify determinism in high-dimensional systems. The results show that the method is suitable for discriminating stochastic from deterministic systems even if the dimension of the latter is as high as 13. The method is shown to succeed in identifying determinism in electroencephalogram signals simulated by means of a high-dimensional system. © 2001 The American Physical Society.
2002
Inglese
65
-
016208
http://www.scopus.com/inward/record.url?eid=2-s2.0-41349114787&partnerID=40&md5=6b1d593b24ed3216b09b43800fbf8e11
Sì, ma tipo non specificato
Band structure
Dielectric materials
Elastomers
Formability
Liquid crystals
Permittivity
Photons
Polarization
Stress analysis
Cholesteric elastomers (CE)
Cholesteric liquid crystals (CLC)
Photonic band structures
Photonic band-gap (PBG) materials
Self assembly
1
info:eu-repo/semantics/article
262
Ortega; G.J.a;Degli Esposti Boschi; C.b;Louis; E.b
01 Contributo su Rivista::01.01 Articolo in rivista
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/237785
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