Explore MATLAB source code curated for "时间序列" with clean implementations, documentation, and examples.
A comprehensive Kalman filtering procedure applied after AR(1) time series modeling, featuring detailed implementation steps and including a built-in dataset for practical demonstration.
Implementation of feature extraction methods for 1D signal time series using MATLAB, including Independent Component Analysis (ICA) and wavelet packet-based approaches, with code-level implementation insights.
Implementation of Lorenz chaotic system time series computation with fourth-order Runge-Kutta method, including numerical integration techniques and system parameter configuration
The simplest approach to understanding command-line functions in the toolbox is to start with the GUI, generate automated scripts, and then modify them for customized network training.
Implementation of CC Algorithm for Determining Optimal Delay Time and Embedding Dimension in Time Series Phase Space Reconstruction
Implementation of GP Algorithm to Determine Optimal Embedding Parameters (Dimension and Delay Time) for Time Series Phase Space Reconstruction
Research on time-frequency characteristics of time series including Fourier transform and inverse transform, fast Mellin transform and inverse transform, short-time discrete Fourier transform for instantaneous frequency extraction. Implementation of time-frequency distributions: Born-Jordan distribution, Butterworth distribution, and Choi-Williams distribution for visualizing instantaneous frequency patterns.
Implementation of LS-SVM (Least Squares Support Vector Machine) for time series forecasting with fully debugged code. The package includes sample datasets and modular code structure covering data loading, normalization, model initialization, cross-validation, training, regression prediction, and denormalization processes. Each module contains detailed comments and supports custom dataset integration.
Multi-Step Prediction of Chaotic Time Series - Exploring Multi-Step Forecasting Problems with Algorithm Implementation Insights
Implementation and simulation of chaotic time series prediction methods, featuring time delay selection, correlation dimension calculation, and maximum Lyapunov exponent estimation algorithms