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- W3128450757 abstract "We present a fully automated method for the optimal state space reconstruction from univariate and multivariate time series. The proposed methodology generalizes the time delay embedding procedure by unifying two promising ideas in a symbiotic fashion. Using non-uniform delays allows the successful reconstruction of systems inheriting different time scales. In contrast to the established methods, the minimization of an appropriate cost function determines the embedding dimension without using a threshold parameter. Moreover, the method is capable of detecting stochastic time series and, thus, can handle noise contaminated input without adjusting parameters. The superiority of the proposed method is shown on some paradigmatic models and experimental data from chaotic chemical oscillators." @default.
- W3128450757 created "2021-02-15" @default.
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- W3128450757 date "2021-03-01" @default.
- W3128450757 modified "2023-10-17" @default.
- W3128450757 title "A unified and automated approach to attractor reconstruction" @default.
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- W3128450757 doi "https://doi.org/10.1088/1367-2630/abe336" @default.
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