Electric Vehicle Charging and Discharging Power Modeling
MATLAB simulation code for understanding electric vehicle charging and discharging power models with implementation examples
Explore MATLAB source code curated for "MATLAB仿真代码" with clean implementations, documentation, and examples.
MATLAB simulation code for understanding electric vehicle charging and discharging power models with implementation examples
This MATLAB simulation code provides a practical learning platform for studying robot obstacle avoidance algorithms. The code is ready-to-run upon download and includes comprehensive documentation. Users can customize obstacle maps and adjust parameters to achieve different avoidance behaviors and test various algorithm configurations.
Implementation of Cyclic MUSIC algorithm simulation in MATLAB with detailed parameter configuration and performance analysis capabilities
MATLAB simulation code for wireless sensor network autonomous node localization, featuring algorithm implementations and performance evaluation capabilities
MATLAB simulation code implementation for Amplify-and-Forward (AF) cooperative communication mode with performance analysis and parameter optimization
MATLAB simulation code for signal sparse decomposition reference program based on Matching Pursuit
Complete MATLAB simulation code for OFDM systems including transmitter, channel model, and receiver implementation, with detailed OFDM technical documentation
MATLAB simulation implementation of Amplify-and-Forward (AF) cooperative communication protocol with performance analysis capabilities
MATLAB simulation implementation of adaptive control using RBF neural networks, featuring online learning algorithms and system parameter adaptation
This project provides comprehensive MATLAB simulation code for 802.11a OFDM systems, featuring complete implementations of OFDM mapping, IDFT/DFT transformations, synchronization techniques (timing and frequency synchronization), channel estimation algorithms, and frequency offset estimation with practical code demonstrations and algorithmic explanations.