Explore MATLAB source code curated for "Matlab" with clean implementations, documentation, and examples.
Implementation of single and multiple object tracking in video streams using MATLAB, featuring algorithm selection, visualization techniques, and practical system development with code examples.
MATLAB Chaos Theory Toolbox Version 2.0 - A comprehensive and powerful toolkit for chaos analysis, modeling, and algorithm development.
A practical MATLAB implementation of the Mean Shift algorithm, tested with satisfactory results. Includes discussions on optimization techniques, performance improvements, and real-world applications.
Generate and visualize white noise signal images using MATLAB with comprehensive implementation approaches
MATLAB implementation of 1D PCA for image compression and decompression with configurable number of eigenvalues to observe compression results. Demonstrates image preprocessing steps and PCA workflow.
This MATLAB-based GUI application implements an interactive interface for Backpropagation (BP) neural network training and validation. The system allows users to upload datasets, train neural networks through iterative optimization, and validate network performance using partial data inputs. While currently focused on neural network implementation, the framework is designed to accommodate future regression analysis modules.
This attachment contains MATLAB source code for image sparse representation, featuring fully functional implementation with configurable parameters for optimized performance across various image types.
Implementation of mutual information method for calculating time delay in chaotic equations analysis using MATLAB with comprehensive code descriptions
This algorithm implements fuzzy PID control based on a control rule table using MATLAB development, featuring ready-to-run capability with comprehensive code implementation including fuzzy inference system setup and PID parameter adjustment logic.
Support Vector Machine (SVM) Discriminant Analysis implementation using MATLAB's built-in fitcsvm function, demonstrated on the Wine recognition dataset