Explore MATLAB source code curated for "gui" with clean implementations, documentation, and examples.
Comprehensive source code from "Mastering MATLAB GUI Design" - an essential resource for MATLAB GUI development. This book demonstrates practical GUI implementation techniques that significantly reduce development time through MATLAB's built-in functions and callback mechanisms.
A MATLAB-based graphical user interface package for conducting comprehensive power flow analysis in distribution networks, featuring network modeling, parameter calculation, and visualization capabilities.
This MATLAB-based GUI application implements an interactive interface for Backpropagation (BP) neural network training and validation. The system allows users to upload datasets, train neural networks through iterative optimization, and validate network performance using partial data inputs. While currently focused on neural network implementation, the framework is designed to accommodate future regression analysis modules.
Creating a drawing board application using graphical user interface (GUI) frameworks
Image processing techniques integration based on MATLAB GUI, including histogram analysis, filtering, wavelet transforms, watermarking, segmentation, and more. Features adjustable parameters, detailed code comments for key functions, and completely original implementations. Shared for community exchange and learning purposes.
A fully executable MATLAB program for image edge detection featuring a GUI interface for image selection, implementing standard edge detection algorithms with customizable parameters.
This MATLAB GUI application demonstrates efficient text file reading and saving operations, featuring intuitive visual interface design and robust programming techniques. It serves as an excellent foundation for complex programming projects and provides significant learning value for beginners.
SSVEP EEG Analysis and Evaluation System developed using MATLAB's GUI interface, featuring automated EEG data classification and scoring functionality
This experimental demonstration showcases the application of image processing-based crack detection technology. Addressing the characteristics of road cracks including branching patterns, fine discontinuities, irregular distribution, and low contrast, the system implements a series of image preprocessing steps to highlight crack target regions. The implementation enhances automation levels for road surface inspection through GUI-based software module integration and data persistence using database storage, demonstrating considerable versatility across different scenarios.
A MATLAB-developed GUI that enables serial communication and real-time plotting functionality, featuring practical significance for data monitoring applications