Explore MATLAB source code curated for "帮助" with clean implementations, documentation, and examples.
Mini-program for digital watermarking algorithms, providing introductory assistance for beginners in digital watermarking. Developed in MATLAB environment with implementation of basic embedding and extraction techniques.
The NSGA2 source code represents one of the most effective multi-objective evolutionary algorithms with superior convergence properties, featuring a comprehensive toolbox that facilitates implementation of various multi-objective optimization algorithms through modular functions for non-dominated sorting, crowding distance calculation, and genetic operations.
Comprehensive collection of MATLAB image processing functions with practical code examples, featuring essential algorithms like imread() for image loading, imshow() for display, and imfilter() for spatial filtering - ideal for beginners learning digital image processing techniques.
My custom implementation of the Poisson image blending algorithm with areas for potential optimization and enhancement. This implementation includes the core gradient-domain operations and demonstrates the mathematical foundation of Poisson equations in image processing.
A coursework project implementing beamforming algorithms with practical code examples and technical explanations
MATLAB source code implementation of Ant Colony System (ACS) algorithm for Traveling Salesman Problem (TSP), providing valuable reference for those studying ant colony optimization algorithms.
A comprehensive guide to implementing image segmentation using Gibbs Random Fields, featuring effective segmentation results, algorithm explanations, and practical code considerations for improved boundary detection.
This project presents a simulation of frequency-selective Rayleigh fading channels, incorporating MATLAB implementation details for modeling real-world wireless communication environments.
This provides MATLAB implementation of wavelet algorithms with code examples and explanations, designed to assist fellow developers and researchers in signal processing applications.
This implementation demonstrates a BP neural network in MATLAB, featuring complete training and prediction workflows. We welcome discussions and knowledge exchange on neural network implementations and optimization techniques.