Explore MATLAB source code curated for "学习" with clean implementations, documentation, and examples.
A comprehensive Kalman filter implementation in MATLAB developed during graduate studies, accompanied by a detailed technical report. This project demonstrates fundamental Kalman filtering concepts including state prediction, measurement update, and covariance propagation. The code features modular structure with clear separation between prediction and correction steps, making it ideal for educational purposes and algorithm extension.
This program implements the RANSAC algorithm and provides valuable insights for learning RANSAC through detailed code examination.
Learn about Simulink no-load control in wind power generation systems, with practical implementations covering control algorithms and system modeling approaches.
MATLAB-based wireless sensor network simulation with practical code implementations for enhanced learning
A comprehensive example of niche particle swarm optimization algorithm implementation, extremely valuable for learning PSO concepts and understanding algorithm mechanics through practical code demonstration!
Supervised Learning Neural Network Regression for Gasoline Octane Number Prediction Using Near-Infrared Spectroscopy Data. For detailed tutorial explanations and high-resolution materials (due to file size limitations), please contact me at 1066146635@qq.com. This implementation covers neural network architecture design, spectral data preprocessing, and regression model training techniques.
This document contains all programs and practical application examples of Kalman adaptive filtering, serving as classic MATLAB implementations for learning Kalman filtering algorithms with detailed code explanations and implementation approaches.
A comprehensive particle swarm optimization implementation for solving unit commitment problems, featuring detailed algorithm explanations and MATLAB/Python code structure for practical learning and application
MATLAB project files for modern signal processing, designed to facilitate comprehensive learning of contemporary signal processing techniques with practical code implementation examples.
Classic MATLAB source code for wavelet neural network implementation, perfect for collaborative learning and understanding wavelet-based neural architectures.