Building APF Using Simulink Modules in MATLAB
Implementation of Active Power Filter (APF) using MATLAB Simulink modules with successful testing validation
Explore MATLAB source code curated for "测试" with clean implementations, documentation, and examples.
Implementation of Active Power Filter (APF) using MATLAB Simulink modules with successful testing validation
Source code for a self-tuning PID control algorithm based on neural networks, featuring high practical value and proven operational stability through comprehensive testing
Implementation of wavelet modulus maxima denoising method, successfully tested in MATLAB with practical code examples and parameter optimization techniques.
This fingerprint segmentation algorithm effectively separates foreground and background in fingerprint images, achieving excellent results on FVC fingerprint database testing. The implementation includes a GUI interface for convenient testing and evaluation. The code features novel segmentation techniques not previously published, making it highly valuable for biometric research.
Artificial Bee Colony (ABC) Algorithm source code implementation, thoroughly tested and ready for use
MATLAB face detection software package with comprehensive testing results, demonstrating excellent performance and accuracy!
Implementing support vector machine classification algorithm using MATLAB, with comprehensive data training and testing procedures to achieve accurate data categorization
A comprehensive pitch recognition program featuring pitch detection, Dynamic Time Warping (DTW), Linear Predictive Cepstral Coefficients (LPCC), and Mel-Frequency Cepstral Coefficients (MFCC) extraction, thoroughly modified and validated for accuracy. Includes detailed code-level explanations of signal processing techniques and pattern recognition algorithms.
Design examples of BP neural networks, where all cases have been tested and are ready to run immediately
Program framework for training and validating Elman RNN models applied to time series forecasting, featuring data preprocessing, network architecture configuration, and performance evaluation metrics