Abstract
We discuss theoretical and practical issues of data-driven phase reconstruction approaches for nonlinear oscillatory systems by means of the geometric technique of embeddings and protophase-to-phase transformation. In this chapter, we introduce a natural extension of the well-studied Hilbert transform by iteration. The novel approach, termed iterated Hilbert transform embeddings, implements central assumptions underlying phase reconstruction and allows for exact demodulation of purely phase modulated signals. Here, we examine the performance of the novel method for the more challenging situation of generic phase-amplitude modulated signals of a simple nonlinear oscillatory system. In particular we present the benefits of the approach for secondary phase analysis steps illustrated by reconstruction of the phase response curve. Limitations of the approach are disussed for a noise-driven phase dynamics.
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Acknowledgements
Both authors thank Aneta Stefanovska and Peter McClintock for the kind invitation to contribute to this interdisciplinary work. Erik Gengel thanks the Friedrich-Ebert-Stiftung for financial support. This paper was supported by the RSF grant 17-12-01534. The analysis in Sec. 3.3 was supported by the Laboratory of Dynamical Systems and Applications NRU HSE, of the Russian Ministry of Science and Higher Education (Grant No. 075-15-2019-1931).
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Gengel, E., Pikovsky, A. (2021). Phase Reconstruction with Iterated Hilbert Transforms. In: Stefanovska, A., McClintock, P.V.E. (eds) Physics of Biological Oscillators. Understanding Complex Systems. Springer, Cham. https://doi.org/10.1007/978-3-030-59805-1_12
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DOI: https://doi.org/10.1007/978-3-030-59805-1_12
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