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Linear And Nonlinear Methods For Dynamical System Correlation Analysis

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dc.contributor.author ADOCHIEI, F. C.
dc.contributor.author EDU, I.
dc.contributor.author JULA, N.
dc.date.accessioned 2020-11-30T13:43:37Z
dc.date.available 2020-11-30T13:43:37Z
dc.date.issued 2015
dc.identifier.citation ADOCHIEI, F. C., EDU, I., JULA, N. Linear And Nonlinear Methods For Dynamical System Correlation Analysis. In: Telecomunicaţii, Electronică şi Informatică: proc. of the 5th intern. conf., May 20-23, 2015. Chişinău, 2015, pp. 450-453. ISBN 978-9975-45-377-6. en_US
dc.identifier.isbn 978-9975-45-377-6
dc.identifier.uri http://repository.utm.md/handle/5014/11863
dc.description.abstract In recent decades different methods have been developed to analyse correlations of complex dynamic systems. In the field of medical tests, there is a growing interest in how the new information can be gained on the interactions between the main physiological regulating mechanisms both in healthy and diseased individuals. Recent advances in dynamic linear, nonlinear and information theory, allowed the study of information flows between causal and non-causal time series using multivariate analysis. To investigate the correlations in and between the main control systems, as well as for the quantification of the interactions between these complex systems a variety of linear and non-linear methods have been proposed up to the present time. In this paper will be presented the most used approaches, both linear and nonlinear, to quantify the direct or indirect correlations and directionality of these interactions (master-slave relationship). en_US
dc.language.iso en en_US
dc.publisher Technical University of Moldova en_US
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject dynamic systems en_US
dc.subject linear methods en_US
dc.subject non-linear methods en_US
dc.title Linear And Nonlinear Methods For Dynamical System Correlation Analysis en_US
dc.type Article en_US


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