Explore MATLAB source code curated for "源代码" with clean implementations, documentation, and examples.
PCA MATLAB source code with clear program structure, featuring modular design for covariance matrix computation, eigenvalue decomposition, and principal component projection - a valuable resource for machine learning implementations.
This MATLAB-based program achieves subpixel edge localization with precision of 0.1-0.2 pixels, featuring complete source code and comprehensive documentation. The implementation utilizes advanced interpolation algorithms and gradient-based edge detection methods for enhanced accuracy.
Complete background subtraction algorithm with source code from "A Statistical Approach for Real-time Robust Background Subtraction and Shadow Detection"
Source code implementation of Euler's method and Runge-Kutta algorithm for solving first-order ordinary differential equations, with detailed comments on numerical computation approaches and code structure.
Graduation Project: MATLAB Source Code for Research on Image Restoration Algorithms - Featuring Algorithm Implementation Details and Practical Applications
Simulation program for wireless communication MIMO systems, featuring comprehensive documentation and source code with detailed explanations of signal processing algorithms and antenna configuration implementations.
Source code implementation of one-dimensional MUSIC algorithm for microphone array-based sound source localization, featuring signal processing workflow and eigen decomposition methods
Source code for Dr. Chunming Li's initialization-free model, written by the author personally. Includes test images that will certainly benefit researchers and developers.
Source Code Implementation of Differential Evolution Algorithm with Detailed Technical Explanations
This repository provides MATLAB source code for 3D maneuvering target tracking based on Kalman filter algorithm. The implementation demonstrates state estimation techniques for tracking dynamic targets in three-dimensional space. The code includes comprehensive documentation and sample datasets for testing and validation.