Explore MATLAB source code curated for "初学者" with clean implementations, documentation, and examples.
A simple yet practical simulation framework for second-order multi-agent system consensus, suitable for beginners and university students. This model can be modified for experiments and includes code implementation details for velocity and position coordination algorithms.
Classic Unscented Kalman Filter tracking framework implementation with detailed code annotations and comprehensive explanations, ideal for beginners learning state estimation techniques.
Complete source code for Hilbert-Huang Transform featuring step-by-step explanations, ideal for beginners. Includes algorithm breakdowns and key function descriptions to facilitate learning and practical implementation.
Complete source code implementation of Dr. Lowe's seminal SIFT algorithm, including comprehensive documentation, detailed code comments, and additional affine transformation functions I've ported and annotated. An exceptionally valuable resource for beginners and researchers working with feature detection and image matching algorithms.
A basic MATLAB GUI program suitable for beginners, featuring interactive controls and graphical elements for intuitive learning
A beginner-friendly implementation of Kalman filtering for GPS data extraction and processing from TXT documents, featuring clear code structure and practical algorithm applications
Implementation of 50-dimensional function optimization using genetic algorithms, featuring straightforward code structure ideal for beginners. The solution demonstrates key genetic operations including selection, crossover, and mutation with clear variable handling.
This documentation provides detailed implementation of tracking algorithms combining radar and infrared data, featuring comprehensive code examples suitable for beginners and intermediate developers
PSO source code and its function optimization applications, featuring clean and readable implementation with detailed algorithm explanations. Ideal for beginners to quickly grasp particle swarm optimization concepts through practical code examples.
Demonstration software illustrating Kalman filter programming principles, providing beginner-friendly reference with interactive code examples.