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, 271-290. ISBN 978-3-6420-4628-5.
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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.
|Item Type:||Book Section, not refereed, original work|
|Communities & Collections:||01 Faculty of Theology > Center for Ethics|
04 Faculty of Medicine > Institute of Biomedical Ethics
610 Medicine & health
|Deposited On:||11 Jan 2011 15:21|
|Last Modified:||28 Nov 2013 01:05|
|Citations:||Web of Science®. Times Cited: 1|
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