RC Charging Circuit Simulation Model
RC charging circuit simulation model for visualizing exponential curve variations, suitable for beginners as a learning reference with practical MATLAB/Simulink implementation examples
Explore MATLAB source code curated for "参考" with clean implementations, documentation, and examples.
RC charging circuit simulation model for visualizing exponential curve variations, suitable for beginners as a learning reference with practical MATLAB/Simulink implementation examples
This MATLAB implementation of Stentz's Focused D* algorithm includes practical debugging and optimization for robotic path planning applications, providing a reference solution for navigation in complex environments.
MATLAB implementation of Gaussian Mixture Model background modeling method, suitable for reference in computer vision applications.
MATLAB source code for QoS Multicast Routing implementation, featuring network optimization algorithms and protocol simulations for researchers and developers interested in network programming.
A well-annotated rough set algorithm implementation providing valuable learning reference with detailed code explanations
MATLAB source code for video watermarking implementation, distributed across six compressed archive files. Provides comprehensive reference material for researchers working in related fields with detailed algorithm implementations and function descriptions.
Video watermarking MATLAB source code - this is the sixth archive package. Digital watermarking enthusiasts can download it for reference, featuring implementation examples of frequency-domain embedding and extraction algorithms.
A mini-program for license plate recognition using BP neural network algorithm, featuring image preprocessing, character segmentation, and pattern recognition capabilities for automated vehicle identification.
Implementation code for PSO-based PID parameter optimization with detailed algorithm explanation for technical reference
A dual-color lottery prediction program implemented using backpropagation neural networks, providing reference implementation with data preprocessing and model training components