Explore MATLAB source code curated for "源代码" with clean implementations, documentation, and examples.
MATLAB simulation source code for vehicle obstacle avoidance implementing chaotic-optimized artificial potential field method with parameter optimization capabilities.
This attachment contains MATLAB source code for image sparse representation, featuring fully functional implementation with configurable parameters for optimized performance across various image types.
Lorenz Chaotic Dynamical System Analysis Source Code including system trajectories and attractors - featuring complete MATLAB/Octave implementation with visualization capabilities
Face recognition system based on Principal Component Analysis (PCA) method, providing valuable reference for undergraduate graduation projects including complete source code and experimental images with detailed algorithm implementation
Source code implementation of multi-level digital phase modulation commonly used in communication systems, integrated with OFDM framework including cyclic prefix (CP) and pilot sequences for channel estimation applications in OFDM-based systems.
MATLAB implementation of Modular PCA algorithm using Yale Face Database as example. The code performs image partitioning, PCA feature extraction on sub-images, projection coefficient calculation, and nearest neighbor classification with detailed code structure explanation.
Complete ASIFT image feature extraction source code package including sample test images and demonstration program
Source code for a classic particle filter algorithm written by an international expert. Ideal for beginners with comprehensive code comments and detailed implementation insights.
MATLAB-based implementations of neural network PID control and fuzzy PID control algorithms, featuring BP PID, CMAC PID, RBF PID, BP numerical approximation algorithms, BP predictive control, and fuzzy PID controllers with detailed code-level explanations.
Source code implementation of ant colony optimization algorithm for path planning with customizable obstacle and terrain configuration through program modifications