Explore MATLAB source code curated for "交流" with clean implementations, documentation, and examples.
Complete MATLAB game theory program resources available for download, featuring detailed algorithmic implementations and simulation examples for cooperative and non-cooperative game scenarios.
A comprehensive simulation model for single-phase photovoltaic inverters, open for technical discussion and knowledge exchange
Case-Based Reasoning for matching applications with resource sharing support, featuring practical MATLAB code implementation and algorithm explanations
MATLAB source codes for automotive theory concepts, thank you for your support - let's enhance our technical discussions through code implementation examples!
MATLAB simulation model for Z-source inverter implementation featuring functional simulation results with minor issues - ideal for collaborative improvement discussions on parameter tuning and algorithm optimization
MATLAB program for computing geographic coordinates using two-point distance calculation with Haversine formula implementation - open for technical exchange.
This MATLAB code implements the Monte Carlo algorithm, originally developed for graduation project purposes. The implementation includes random sampling techniques, statistical analysis methods, and result visualization components. Interested developers can discuss algorithm optimization and application scenarios.
Implementing wind speed prediction with Support Vector Machine (SVM) in MATLAB using custom-written code, featuring discussions on parameter configuration, feature engineering, and comparative performance analysis
Implementation of a blind equalization algorithm utilizing second-order cyclostationary statistics, shared for technical exchange and constructive feedback on computational approaches and performance optimization.
This implementation utilizes video reading functions to extract video frames with batch conversion capability to formats like BMP, along with moving object detection and static background extraction. Includes comprehensive documentation and welcomes technical discussions. The code employs efficient frame buffer management and implements background subtraction algorithms for motion detection.