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Detection of Patterns Within Randomness

Stoop, Ruedi; Christen, Markus (2010). Detection of Patterns Within Randomness. In: Thiel, Marco; Kurths, Jürgen; Romano, M Carman; Moura, Alessandro; Károlyi, György. Nonlinear Dynamics and Chaos. Advances and Perspectives. Berlin: Springer, 271-290.

Abstract

The identification of jittered regular signals (="patterns#) embedded in a noisy background is an important and difficult task, particularly in the neurosciences. Traditional methods generally fail to capture such signals. Staircase-like structures in the log–log correlation plot, however, are reliable indicators of such signal components.We provide a number of applications of this method and derive an analytic relationship between the length of the pattern n and the maximal number of steps s(n,m) that are observable at a chosen embedding dimension m. For integer linearly independent patterns and small jitter and noise, the length of the embedded pattern can be calculated from the number of steps. The method is demonstrated to have a huge potential for experimental applications.

Additional indexing

Item Type:Book Section, not_refereed, original work
Communities & Collections:01 Faculty of Theology and the Study of Religion > Center for Ethics
04 Faculty of Medicine > Institute of Biomedical Ethics and History of Medicine
Dewey Decimal Classification:170 Ethics
610 Medicine & health
Scopus Subject Areas:Physical Sciences > Software
Physical Sciences > Computational Mechanics
Physical Sciences > Artificial Intelligence
Scope:Discipline-based scholarship (basic research)
Language:English
Date:2010
Deposited On:11 Jan 2011 14:21
Last Modified:05 Mar 2025 02:37
Publisher:Springer
ISBN:978-3-6420-4628-5
OA Status:Closed
Publisher DOI:https://doi.org/10.1007/978-3-642-04629-2_12
Other Identification Number:merlin-id:13641
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