Explore MATLAB source code curated for "注释" with clean implementations, documentation, and examples.
MATLAB simulation code for the LEACH protocol featuring comprehensive comments and energy-efficient clustering algorithm implementation for easy comprehension and customization
Implementation of SIFT feature extraction from images with clustering capabilities for visual dictionary generation. Includes comprehensive code annotations and technical documentation. This proven codebase handles all SIFT-related image processing tasks and provides significant value for both beginners and developers through practical algorithm demonstrations and reusable functions.
This implementation features detailed code comments, making it ideal for educational reference and algorithm study. The annotations explain key algorithmic components including pheromone updates, path selection mechanisms, and convergence criteria.
A customized (127,115) Reed-Solomon encoder implementation based on existing online code, featuring detailed comments and FPGA-friendly algorithm modifications (referenced in try123.m), designed to help developers avoid common implementation pitfalls.
Complete MATLAB implementation for GPS signal acquisition and processing, featuring well-commented source code with result visualization plots. Essential resource for GPS learners developing fundamental signal processing skills.
This is a fundamental genetic algorithm program designed for beginners, containing complete implementation steps with detailed code comments. The program demonstrates core genetic operations including population initialization, fitness evaluation, selection, crossover, and mutation. Performance analysis shows runtime of approximately 40 seconds for population size 50 and 1000 generations (CPU: Duron 1G), highlighting computational bottlenecks in large-scale genetic algorithms.
Annotated code implementation with comprehensive explanations, ideal for reference and learning purposes
This program implements Principal Component Analysis (PCA) for face recognition with comprehensive code comments. It provides an excellent starting point for beginners in facial recognition technology, featuring detailed explanations of algorithmic steps and implementation approaches.
Implementation of TEEN algorithm for WSN with comprehensive code comments to facilitate easy understanding of the energy-efficient clustering mechanism
MATLAB source code for BCJR decoding algorithm with detailed annotations, suitable for learning MAP algorithm implementation. The code includes comprehensive comments demonstrating forward-backward probability calculations, branch metric computations, and log-likelihood ratio derivations.