A symplectic geometry-based method for nonlinear time series decomposition and prediction
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[1] Min Lei,et al. Symplectic Principal Component Analysis: A New Method for Time Series Analysis , 2011 .
[2] P. Xu,et al. Neighbourhood selection for local modelling and prediction of hydrological time series , 2002 .
[3] Luca Faes,et al. k-Nearest neighbour local linear prediction of scalp EEG activity during intermittent photic stimulation. , 2011, Medical engineering & physics.
[4] Zhizhong Wang,et al. Mean frequency derived via Hilbert-Huang transform with application to fatigue EMG signal analysis , 2006, Comput. Methods Programs Biomed..
[5] Zhizhong Wang,et al. Identification determinism in time series based on symplectic geometry spectra , 2005 .
[6] Farmer,et al. Predicting chaotic time series. , 1987, Physical review letters.
[7] Aapo Hyvärinen,et al. Fast and robust fixed-point algorithms for independent component analysis , 1999, IEEE Trans. Neural Networks.
[8] Sadasivan Puthusserypady,et al. Chaotic time series prediction and additive white Gaussian noise , 2007 .
[9] Andrew L. Rukhin,et al. Analysis of Time Series Structure SSA and Related Techniques , 2002, Technometrics.
[10] Zhizhong Wang,et al. A method of embedding dimension estimation based on symplectic geometry , 2002 .
[11] C. Loan. A Symplectic Method for Approximating All the Eigenvalues of a Hamiltonian Matrix , 1982 .
[12] James D. Hamilton. Time Series Analysis , 1994 .