Real-time QRS Complex Detection Code and Interface for ECG Signals
Real-time QRS complex detection algorithm implementation with user interface, utilizing signal processing techniques for accurate QRS identification in electrocardiogram data
Explore MATLAB source code curated for "界面" with clean implementations, documentation, and examples.
Real-time QRS complex detection algorithm implementation with user interface, utilizing signal processing techniques for accurate QRS identification in electrocardiogram data
A robust application for extracting heart sound envelopes featuring stable compilation/execution capabilities and an interactive graphical user interface display.
A MATLAB GUI-based application for principal component analysis, featuring an intuitive interface design and high reference value for understanding PCA implementation approaches.
This program automatically identifies No Entry signs and No Temporary/Long-term Vehicle Parking signs, implemented with a MATLAB GUI interface. The workflow involves template training, image importation, parameter optimization, and final recognition using computer vision algorithms.
DES encryption algorithm implementation featuring a customizable GUI for file selection, output path configuration, and flexible key management. The system allows users to specify encryption parameters through interactive controls.
Pattern recognition of handwritten English letters with a GUI interface demonstrating the recognition workflow and algorithmic steps.
Professor Duan Haibin's TSP (Traveling Salesman Problem) Type Implementation - Originally designed for UI applications, now directly usable with enhanced functionality
User interface for Support Vector Machine predictions using MATLAB, featuring data handling and model configuration capabilities for practical machine learning applications.
Detailed guide on creating graphical user interfaces (GUI) in MATLAB with code implementation examples and key function descriptions.
A MATLAB-based neural network prediction interface with customizable data input and model configuration capabilities, providing users with an intuitive tool for implementing and testing neural network prediction algorithms.