Explore MATLAB source code curated for "源代码" with clean implementations, documentation, and examples.
SeDuMi is a robust algorithm package designed for solving semidefinite programming problems, featuring the latest source code release with implementations of matrix factorization and iterative methods.
Digital Image Processing Image Restoration Algorithms Source Code (Wiener Filter, Least Squares Method, Lucy-Richardson Algorithm) with Implementation Details
MATLAB-based face recognition source code featuring a user-friendly GUI interface, comprehensive documentation, and easy implementation for educational and development purposes
Comprehensive guide to Ant Colony Optimization algorithm with MATLAB source code, designed for beginners. Explores application domains, implementation methodology, and includes executable simulation code with detailed comments. Features practical examples covering path planning, data clustering, and image segmentation applications.
Source code implementation for freight volume prediction based on Generalized Regression Neural Network (GRNN), featuring ready-to-compile code with comprehensive inline comments and detailed algorithm explanations.
MATLAB source code for training Self-Organizing Map neural networks, featuring unsupervised learning algorithms for data clustering and feature extraction, with detailed implementation guidelines.
A source code implementation of Particle Swarm Optimization and Genetic Algorithm optimized Radial Basis Function neural network, ready for direct deployment with comprehensive technical documentation.
Signal and Information Processing - MATLAB algorithm for Direction of Arrival (DOA) estimation using Root-MUSIC method, featuring complete source code implementation with detailed spectral analysis techniques for enhanced signal direction detection.
Implementation code for Duffing chaotic oscillator and source code for plotting Duffing system bifurcation diagrams using MATLAB, featuring parameter configuration and numerical simulation techniques.
MATLAB source code for an improved K-means clustering algorithm utilizing particle swarm optimization techniques, compatible with MATLAB 7.1 and higher versions. The implementation includes adaptive parameter tuning and hybrid optimization strategies for better cluster initialization.