Explore MATLAB source code curated for "检测方法" with clean implementations, documentation, and examples.
Application of wavelet transform for motor fault signal analysis, covering fundamental knowledge in motor fault diagnosis and condition monitoring including detection methods, allowable limits, diagnostic equipment principles, along with Hilbert transform-based signal analysis implementation approaches.
Application Background: This project implements vehicle detection and tracking in video sequences, where detection results are marked with red bounding boxes and tracking results with green bounding boxes. The code includes a series of motion vehicle frame images. Key Technologies: Vehicle detection utilizes background subtraction method with average background updating, while tracking employs Kalman filtering. The implementation features detailed code explanations with detection and tracking results visually distinguished by colored bounding boxes.
Source: My graduation project simulation results. File provides comparison of BER performance for multiple detection techniques in narrowband Rayleigh fast fading channels. Key customizable parameters include tx (transmit antennas), rx (receive antennas), L (simulation iterations), and EbN0 (signal-to-noise ratio range). Implementation note: The simulation utilizes MATLAB functions db.m and minnorm.m containing algorithms for channel modeling and detection methods comparison.
Real-time dynamic motion detection based on video analysis, implementing advanced object tracking algorithms for continuous movement monitoring.