Summary

2011 International Symposium on Nonlinear Theory and Its Applications

2011

Session Number:B2L-C

Session:

Number:B2L-C4

Log-Log-Step Method for Detection of Patterns Within Randomness Quantitatively Assessed

Florian Gomez,  Ruedi Stoop,  

pp.419-422

Publication Date:2011/9/4

Online ISSN:2188-5079

DOI:10.34385/proc.45.B2L-C4

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Summary:
It has been demonstrated earlier by us that staircase-like structures in the log-log correlation plot of a time series provide an indicator of underlying patterns, even in conditions of strong noisy or/and jittered data. In this article, we analyze the method under different jitternoise-configurations and define quantitative measures for the method’s applicability. A phase diagram shows the remarkable potential of this method even under very unfavorable conditions of noise and jitter. Moreover, we provide a novel and much more compact analytical derivation of the upper and lower bounds on the number of steps observable in the ideal noiseless case, as a function of pattern length and embedding dimension.