Signals in chaos: a method for the cancellation of deterministic noise from discrete signals
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[1] Leonard A. Smith. Identification and prediction of low dimensional dynamics , 1992 .
[2] T. Sauer. A noise reduction method for signals from nonlinear systems , 1992 .
[3] Hsu,et al. Local-geometric-projection method for noise reduction in chaotic maps and flows. , 1992, Physical review. A, Atomic, molecular, and optical physics.
[4] Martin Casdagli,et al. Nonlinear Modeling And Forecasting , 1992 .
[5] P. Grassberger,et al. A simple noise-reduction method for real data , 1991 .
[6] J. D. Farmer,et al. Optimal shadowing and noise reduction , 1991 .
[7] Grebogi,et al. Shadowing of physical trajectories in chaotic dynamics: Containment and refinement. , 1990, Physical review letters.
[8] Stephen M. Hammel,et al. A noise reduction method for chaotic systems , 1990 .
[9] James A. Yorke,et al. Noise Reduction: Finding the Simplest Dynamical System Consistent with the Data , 1989 .
[10] Martin Casdagli,et al. Nonlinear prediction of chaotic time series , 1989 .
[11] J. Doyne Farmer,et al. Exploiting Chaos to Predict the Future and Reduce Noise , 1989 .
[12] Celso Grebogi,et al. Numerical orbits of chaotic processes represent true orbits , 1988 .
[13] Y. C. Lee,et al. Evolution, Learning And Cognition , 1988 .
[14] Eckmann,et al. Liapunov exponents from time series. , 1986, Physical review. A, General physics.
[15] D. Ruelle,et al. Ergodic theory of chaos and strange attractors , 1985 .
[16] P. Holmes,et al. Nonlinear Oscillations, Dynamical Systems, and Bifurcations of Vector Fields , 1983, Applied Mathematical Sciences.
[17] F. Takens. Detecting strange attractors in turbulence , 1981 .
[18] James P. Crutchfield,et al. Geometry from a Time Series , 1980 .
[19] V. I. Oseledec. A multiplicative ergodic theorem: Lyapunov characteristic num-bers for dynamical systems , 1968 .