Recurrence plot analysis of irregularly sampled data

Ibrahim Ozken, Deniz Eroglu, Sebastian F.M. Breitenbach, Norbert Marwan, Liangcheng Tan, Ugur Tirnakli, Jürgen Kurths

Research output: Contribution to journalArticlepeer-review

28 Citations (Scopus)


Irregularly sampled time series usually require data preprocessing before a desired time-series analysis can be applied. We propose an approach for distance measuring of pairs of data points which is directly applicable to irregularly sampled time series. In order to apply recurrence plot analysis to irregularly sampled time series, we use this approach and detect regime transitions in prototypical models and for an application from palaeoclimatatology. This approach might be useful for any method that is based on distance measuring, e.g., correlation sum or Lyapunov exponent estimation.

Original languageEnglish
Article number052215
JournalPhysical Review E
Issue number5
Publication statusPublished - 15 Nov 2018


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