Explore MATLAB source code curated for "程序说明" with clean implementations, documentation, and examples.
Newton's iteration method for solving nonlinear equations with detailed implementation approach and algorithmic explanation. Usage instructions are provided within the code structure.
A custom MATLAB implementation of the Expectation Maximization (EM) algorithm, featuring detailed execution methods and program explanations. This resource provides particularly valuable assistance for beginners learning this algorithm.
Kalman filtering algorithm implementation with detailed code explanations for tracking a falling ball's trajectory, including state prediction and measurement update steps
Illustrating the fourth-order fixed-step Runge-Kutta algorithm through Lorenz attractor implementation, with detailed program specifications and code structure explanation
Implementation of 3GPP SCM channel generation with included PDF documentation containing detailed program specifications, algorithm descriptions, and configuration procedures.
This undergraduate thesis project implemented power spectrum extraction of EEG signals during left/right hand movements in male and female participants using frequency-division analysis to isolate distinctive features for left and right hand motions. The MATLAB-based program features clear modular structure with functions for signal preprocessing, frequency band separation, and power spectrum calculation using FFT algorithms. Includes complete EEG datasets and detailed program documentation.
This MATLAB source code package for multi-user detection includes comprehensive program documentation with detailed implementation notes
MATLAB implementation of Quantum Particle Swarm Optimization algorithm with comprehensive program documentation and code descriptions
A speech signal processing implementation utilizing the LMS adaptive filtering algorithm, with detailed code annotations and technical explanations for enhanced understanding
Self-developed Artificial Bee Colony algorithm featuring integrated chaotic search capabilities. The main function `funqun1` serves as the optimization driver, while the customizable `fitness` function allows flexible adaptation to various optimization problems. This implementation provides clear code structure with detailed documentation, reference papers, and author contact information for technical discussions.