Radar Target Track Tracking
Radar target track tracking system - execute the main_test function for radar data processing, ultimately displaying target trajectories with comprehensive algorithm implementation details.
Developing a Two-Dimensional Model Using FDTD
Implementation of a 2D FDTD (Finite-Difference Time-Domain) model using MATLAB for diffraction tomography visualization of target electromagnetic parameters
Radar Swerling Target Simulation Code
Implementation of radar simulation code for Swerling target models with MATLAB/Python-based approaches
Genetic Algorithm Solution for CARP (Directed Multi-Chinese Postman Problem)
Genetic algorithm implementation for CARP with easily modifiable objectives and constraints. Based on the University of Sheffield Genetic Algorithm Toolbox - requires prior installation.
MATLAB Implementation of Image Enhancement Functionality with Advanced Algorithms
This MATLAB implementation provides comprehensive image enhancement capabilities featuring both cutting-edge algorithms and traditional methods, serving as an excellent educational resource for mastering image processing techniques. The codebase demonstrates practical implementations of histogram equalization, frequency domain filtering, and modern deep learning approaches for quality improvement.
Multi-Objective Particle Swarm Optimization MATLAB Program
MATLAB implementation of multi-objective particle swarm optimization featuring two objective functions (f1 and f2) using a weighted sum approach for solution convergence
Design of Anti-interference Intelligent Control System
Implementation of an intelligent control system design with specified transfer functions and design objectives, featuring Simulink-based MATLAB 6.5 source code that can be adapted to other systems through parameter modification.
Color Segmentation
Load a color image and execute the Untitled.m script: first interactively select a target color region for segmentation using the mouse. After selection, press the ENTER key to display the segmentation results.
SAR Image Segmentation Based on Constant False Alarm Rate (CFAR)
This program implements SAR image segmentation using Constant False Alarm Rate (CFAR) detection to separate targets from clutter background with improved accuracy through adaptive thresholding techniques.
Steger Algorithm for Image Edge Detection
A MATLAB-based implementation of the Steger edge detection algorithm that effectively identifies both edge centers and edge boundaries through parameter optimization, featuring customizable Hessian matrix analysis and sub-pixel precision calculation.