Unbiased reconstruction of the dynamics underlying a noisy chaotic time series.
暂无分享,去创建一个
[1] Giona,et al. Functional reconstruction and local prediction of chaotic time series. , 1991, Physical review. A, Atomic, molecular, and optical physics.
[2] Eric J. Kostelich,et al. Problems in estimating dynamics from data , 1992 .
[3] P. Grassberger,et al. On noise reduction methods for chaotic data. , 1993, Chaos.
[4] Kantz. Quantifying the closeness of fractal measures. , 1994, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.
[5] An iterated function approximation in shadowing time series , 1992 .
[6] M. Casdagli. Chaos and Deterministic Versus Stochastic Non‐Linear Modelling , 1992 .
[7] P. Grassberger,et al. A simple noise-reduction method for real data , 1991 .
[8] Schreiber,et al. Nonlinear noise reduction: A case study on experimental data. , 1993, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.
[9] R. Gencay,et al. An algorithm for the n Lyapunov exponents of an n -dimensional unknown dynamical system , 1992 .
[10] Celso Grebogi,et al. Using small perturbations to control chaos , 1993, Nature.
[11] D. Broomhead,et al. Radial Basis Functions, Multi-Variable Functional Interpolation and Adaptive Networks , 1988 .
[12] P. Grassberger,et al. NONLINEAR TIME SEQUENCE ANALYSIS , 1991 .
[13] Guan-Hsong Hsu,et al. SNR perfomance of a noise reduction algorithm applied to coarsely sampled chaotic data , 1992 .
[14] Brown,et al. Computing the Lyapunov spectrum of a dynamical system from an observed time series. , 1991, Physical review. A, Atomic, molecular, and optical physics.
[15] L. Tsimring,et al. The analysis of observed chaotic data in physical systems , 1993 .
[16] William H. Press,et al. Numerical recipes , 1990 .
[17] Sawada,et al. Measurement of the Lyapunov spectrum from a chaotic time series. , 1985, Physical review letters.
[18] Eckmann,et al. Liapunov exponents from time series. , 1986, Physical review. A, General physics.
[19] T. Sauer. A noise reduction method for signals from nonlinear systems , 1992 .
[20] Schreiber,et al. Noise reduction in chaotic time-series data: A survey of common methods. , 1993, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.
[21] Andreas S. Weigend,et al. Time Series Prediction: Forecasting the Future and Understanding the Past , 1994 .