Display Abstract
Title Identifying dynamical features using ordinal patterns
Name Ulrich Parlitz
Country Germany
Email ulrich.parlitz@ds.mpg.de
Co-Author(s)
Submit Time 2014-02-25 10:06:21
Session
Special Session 68: Entropy-like quantities and applications
Contents
Ordinal pattern statistics is a versatile method for analyzing time series from dynamical systems. In this contribution we shall present and discuss applications such as signal classification, parameter estimation, detection of structural changes, and synchronization analysis.
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