Specific Implementation Cases of Multi-Objective Optimization
Several MATLAB-based multi-objective optimization programs designed for beginners to learn and share, featuring algorithmic implementations and practical applications
Face Detection Program with AdaBoost, Cascade Classifiers, and Haar Features
A functional face detection implementation utilizing AdaBoost, Cascade classifiers, and Haar features, capable of training classifiers and detecting faces in images or videos.
Handwritten Digit Recognition with MATLAB
A MATLAB-based handwritten digit recognition program utilizing minimum Euclidean distance classification. The dataset is sourced from UCI Machine Learning Repository, featuring comprehensive performance evaluation metrics including accuracy, recall, and F1-score calculations with code implementation insights.
Medical Image Registration Implementation in MATLAB
A MATLAB-based medical image registration program that aligns two correlated medical images using advanced image processing algorithms and transformation techniques for precise spatial alignment.
Particle Swarm Optimization Algorithm for Finding Shortest Paths in Obstacle-Embedded Path Graphs
MATLAB implementation of Particle Swarm Optimization algorithm for identifying shortest paths in obstacle-containing path graphs, featuring obstacle-aware path planning and convergence optimization techniques.
A Wavelet Transform-Based Image Denoising Program with MATLAB Source Code
MATLAB source code implementation of an image denoising program utilizing wavelet transform techniques for effective noise reduction and image quality enhancement
MATLAB-based FFT Transformation and Filtering Program
A MATLAB program implementing Fast Fourier Transform (FFT) and digital filtering for signal processing applications, featuring frequency domain analysis and noise removal capabilities.
MATLAB Implementation of Image Denoising Using Wavelet Transform
Wavelet-based image denoising program designed to process blurry image files by removing noise and enhancing resolution through multi-scale analysis and thresholding techniques.
Particle Swarm Optimization for BP Neural Network Enhancement
This implementation of Particle Swarm Optimization (PSO) for fine-tuning BP neural networks originates from my senior's research thesis, providing an effective approach to improve neural network performance through intelligent parameter optimization. The code demonstrates practical integration of evolutionary algorithms with neural network training.
MATLAB Implementation of MIMO-OFDM System Simulation
MATLAB-based MIMO-OFDM Simulation Code with Comprehensive System Modeling - No Extraction Password Required