Abstract
The detection and characterization of non-linearities in temporal series is a hot topic in some disciplines such as nondestructive testing of materials, bioacoustics and biomedical research domains. This is a complex interdisciplinary field where many different researchers are striving to achieve better and more sophisticated techniques. In this scenario, the search for new perspectives that can explain and unify some of the theories is of key importance. Recurrence Plots (RPs) and Recurrence Quantification Analysis (RQA) can play such a role. In this work, we show how RPs can be used to design tests for non-linear detection and characterization of complexity . The proposed tests are less parameter dependent and more robust than some of the traditional discriminating measures. We also illustrate the applicability of the proposed algorithms in simulations and real-world signals such as the analysis of anomalies in the voice production of mammals.
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This work has been supported by the Spanish Administration under grant TEC2011-23403.
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Carrión, A., Miralles, R. (2016). New Insights for Testing Linearity and Complexity with Surrogates: A Recurrence Plot Approach. In: Webber, Jr., C., Ioana, C., Marwan, N. (eds) Recurrence Plots and Their Quantifications: Expanding Horizons. Springer Proceedings in Physics, vol 180. Springer, Cham. https://doi.org/10.1007/978-3-319-29922-8_5
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DOI: https://doi.org/10.1007/978-3-319-29922-8_5
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