Seminar details
Seminars
IFISC Seminar
Quantifying complexity and noise induced order via information theory measures and ordinal patterns symbolic analysis
| Date | Wednesday of February 17, 2010 at 03:00 PM |
|---|---|
| Where | IFISC seminar room, Edifici Instituts Universitaris |
| By | Cristina Masoller, Departament de Fisica i Enginyeria Nuclear, Universitat Politecnica de Catalunya, Terrassa, Spain |
| Video | |
| Abstract | In the first part of the talk I will introduce the concepts of ordinal patterns and statistical complexity and I will show how they can be employed to detect subtle signatures of noise-induced order and complexity in nonlinear systems. I will illustrate the methodology with two paradigmatic models: a Brownian particle in a sinusoidally modulated bistable potential and the FitzHugh-Nagumo model for excitable systems. I will show that resonant-like behavior occurs, in the form of enhanced temporal order, detected as a minimum of Shannon's entropy, accompanied by a maximum of the statistical complexity [1]. In the second part of the talk I will discuss how this methodology can be employed for the analysis of experimental data. As a first example I will discuss the analysis of the time-series of the output intensity of a semiconductor laser operating in the feedback-induced low-frequency fluctuations (LFFs) regime; a second example will be the analysis of climatological data (monthly global surface air temperature) defining a climate complex network. [1] O. A. Rosso and C. Masoller, Phys. Rev. E 79, 040106(R) (2009). |
| Contact information | Damià Gomila 971 25 98 37 damia@ifisc.uib-csic.es |
| iCal | Sync with iCal |
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