MATLAB Code Implementation for Calculating Correlation Dimension

Resource Overview

User-friendly MATLAB program for computing correlation dimension with straightforward implementation - ready to use with intuitive filename based on correlation dimension abbreviation

Detailed Documentation

This MATLAB program provides a simple and efficient solution for calculating correlation dimension. The filename follows an intuitive naming convention using the abbreviation of correlation dimension. Simply download the file, load it into MATLAB, and you can immediately compute the required correlation dimension values. The implementation utilizes clear, well-structured code featuring key algorithms such as phase space reconstruction, distance matrix computation, and correlation integral calculation with logarithmic scaling. Even beginners can easily understand the computational approach, which employs standard nonlinear dynamics methods including time-delay embedding and box-counting techniques. For those unfamiliar with MATLAB, comprehensive documentation is provided covering function parameters, input requirements, and result interpretation. The code organization includes main calculation functions, data preprocessing modules, and visualization components for result analysis. Download now and start exploring nonlinear time series characteristics with this robust computational tool!