相空间重构 Resources

Showing items tagged with "相空间重构"

MATLAB implementation of C-C method and enhanced C-C method for phase space reconstruction - Processing performance: 3 minutes for 3000 data points - Key references: 1) "Nonlinear dynamics, delay times, and embedding windows.pdf" 2) "Phase space reconstruction parameter selection based on improved C-C method 4.pdf" - Directory structure includes C_C_Method_luzhenbo main file with specialized functions for chaotic system data generation and correlation integral calculations

MATLAB 481 views Tagged
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CC_method: A MATLAB implementation of the C-C method for phase space reconstruction in nonlinear time series analysis, calculating optimal time delay (tau) and time window (tw). This code was successfully implemented on MATLAB 7.0 on December 1, 2008, generating 5 key parameters and graphical outputs with excellent results. Includes subroutines for: 1) Lorenz system validation, 2) tau/tw calculation, 3) time series decomposition, 4) phase space reconstruction, and 5) correlation integral computation.

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The G-P (Grassberger-Procaccia) method for chaotic time series analysis, used to calculate correlation dimension and embedding dimension required for phase space reconstruction with implementation insights

MATLAB 232 views Tagged
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MATLAB programs designed for chaos analysis, featuring generation of various standard chaotic attractors, phase space reconstruction parameter selection, and chaos prediction capabilities with implementation insights.

MATLAB 192 views Tagged
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