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• W2752827589 abstract "Throughout scientific research, the state space reconstruction that embeds a non-linear time series is the first and necessary step for characterizing and predicting the behavior of a complex system. This requires to choose appropriate values of time delay T and embedding dimension dE. Three methods are applied and discussed on nonlinear time series provided by the Rossler attractor equations set: Cao’s method, the C-C method developed by Kim et al. and the C-C-1 method developed by Cai et al. A way to fix a parameter necessary to implement the last method is given. Focus has been put on small size and/or noisy time series. The reconstruction quality is measured by using a criterion based on the transformation smoothness." @default.
• W2752827589 created "2017-09-15" @default.
• W2752827589 creator A5061394540 @default.
• W2752827589 creator A5083933910 @default.
• W2752827589 date "2017-01-01" @default.
• W2752827589 modified "2023-09-25" @default.
• W2752827589 title "Selection of Optimal Embedding Parameters Applied to Short and Noisy Time Series from R&#246;ssler System" @default.
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• W2752827589 doi "https://doi.org/10.4236/jmp.2017.89096" @default.
• W2752827589 hasPublicationYear "2017" @default.
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