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- W2024633435 abstract "A method is proposed to reconstruct dynamic attractors by embedding of multivariate observations of dynamic nonlinear processes. The Takens embedding theory is combined with independent component analysis to transform the embedding into a vector space of linearly independent vectors (phase variables). The method is successfully tested against prediction of the unembedded state vector in two case studies of simulated chaotic processes." @default.
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- W2024633435 date "2001-09-19" @default.
- W2024633435 modified "2023-09-25" @default.
- W2024633435 title "Embedding of multidimensional time-dependent observations" @default.
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- W2024633435 doi "https://doi.org/10.1103/physreve.64.046201" @default.
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