MATLAB Program Integrating Genetic Algorithm with Power Flow Calculation
A MATLAB-implemented program combining genetic algorithm optimization with power flow analysis for electrical power systems
Explore MATLAB source code curated for "程序" with clean implementations, documentation, and examples.
A MATLAB-implemented program combining genetic algorithm optimization with power flow analysis for electrical power systems
An efficient and robust face detection program built on MATLAB platform, featuring optimized performance for real-time applications.
My implementation of a Support Vector Machine for regression analysis, which allows users to design sample data and perform regression after downloading the program.
A meticulously developed program implementing GMSK modulation, demodulation, and BER analysis with optimized algorithms
A clear and simple point cloud data reading program designed specifically for airborne LiDAR data, featuring beginner-friendly implementation with efficient data parsing and visualization capabilities
This program implements optimal capacitor placement in power systems using the Particle Swarm Optimization algorithm, featuring code implementation for energy efficiency improvement and system stability enhancement.
Time series prediction algorithm program based on mean generating function featuring: 1. predict_fun.m as the main program implementing core prediction logic 2. timeseries.m and seriesexpan.m as utility subroutines for data processing and series expansion operations
This implementation features video sequence frame tracking using Kalman filters and CONDENSATION algorithm operators, dynamically reading frame sequences for robust estimation and tracking. The program demonstrates excellent performance with practical code implementations of state prediction and measurement update mechanisms.
MIMO OFDM precoding simulation program with spatial diversity and spectral efficiency optimization capabilities for MIMO system performance evaluation
This resource provides comprehensive insights into ultra-wideband multi-user detection algorithms, featuring practical implementation strategies and signal processing techniques