教程 Resources

Showing items tagged with "教程"

This project implements localization using Extended Kalman Filter (EKF) and Particle Filter on a simple robotic platform, developed based on University of Washington's robotics course assignments. It serves as a fundamental tutorial for filtering algorithms and mobile robot localization. Author: Wilford Wang. PS. For optimal learning, download my previously uploaded Project-1.rar (University of Washington coursework), implement your own solution, and compare with my code implementation featuring sensor fusion and probabilistic state estimation techniques.

MATLAB 284 views Tagged

Complete collection of MATLAB wavelet denoising tutorials taught in class! These materials serve as excellent references, covering various implementation techniques and practical applications. The tutorials demonstrate how to effectively reduce noise in signals and images using wavelet-based algorithms with MATLAB code examples and function explanations.

MATLAB 215 views Tagged

This repository contains implementation code for various genetic algorithm approaches applied to function optimization. The code demonstrates key genetic operators including selection, crossover, and mutation techniques. For detailed explanations and tutorials, please refer to the included documentation. High-resolution tutorials are available upon request due to file size limitations.

MATLAB 214 views Tagged

This implementation presents a clustering algorithm utilizing Genetic Simulated Annealing methodology. Detailed explanations and tutorials are included internally, though high-definition tutorials may require contacting the author via 1066146635@qq.com due to file size constraints. The algorithm combines genetic operations with simulated annealing to optimize cluster centroids and assignment.

MATLAB 192 views Tagged

This MATLAB GUI tutorial, which I purchased online, serves as an excellent resource for researchers and developers seeking to master graphical user interface development in MATLAB. The tutorial covers practical implementation techniques including GUI component integration, callback functions, and seamless code-GUI synchronization.

MATLAB 277 views Tagged

Implementation of a two-dimensional path planning algorithm utilizing Ant Colony Optimization (ACO). The code simulates ant foraging behavior through pheromone deposition and evaporation mechanisms to identify optimal paths. For detailed implementation tutorials, refer to the included documentation. Due to file size limitations, contact me at 1066146635@qq.com for high-resolution tutorials or technical support.

MATLAB 207 views Tagged