Kernel Density Estimation (KDE) Toolbox for Background Modeling
This kernel density estimation (KDE) toolbox was discovered during background modeling research and includes implementation considerations for probability density function estimation.
Explore MATLAB source code curated for "大家" with clean implementations, documentation, and examples.
This kernel density estimation (KDE) toolbox was discovered during background modeling research and includes implementation considerations for probability density function estimation.
This model implements a comprehensive battery simulation system, providing insights into electrochemical energy conversion processes. Useful for developers working on energy storage systems, mobile devices, and automotive applications.
This is a Short-Time Fourier Transform implementation with practical code examples, designed to help users analyze time-frequency signal characteristics.
An efficient anti-collision improvement algorithm based on Slotted ALOHA with practical code implementation details for wireless sensor networks
A self-developed least squares image matching program written in August 2012, thoroughly tested with comprehensive code comments, featuring robust pixel-level registration capabilities and error minimization techniques.
OFDM simulation code that can be run directly. This implementation includes complete signal processing chains with IFFT/FFT operations, cyclic prefix insertion, and channel modeling. Useful for communication engineers and researchers studying multicarrier modulation systems.
A comprehensive source code implementation for medical image registration, featuring advanced algorithms and user-friendly interfaces for enhanced diagnostic accuracy
MATLAB implementation of DOA estimation algorithms, shared for community benefit with technical implementation insights
A custom implementation of the 2DPCA (Two-Directional Principal Component Analysis) algorithm featuring matrix-based feature extraction, covariance calculation, and dimensionality reduction operations. For questions or suggestions, please contact fnger@163.com.
This repository contains the MATLAB implementation source code for the NSGA-II (Non-dominated Sorting Genetic Algorithm II) multi-objective optimization algorithm. After extensive effort in locating and verifying this implementation, I'm sharing it with the research community. The code includes proper genetic operator implementations, non-dominated sorting mechanisms, and crowding distance calculations. Please use this resource responsibly for your research and optimization projects. Your support through ratings and feedback is greatly appreciated, and I'll continue sharing improved algorithms and practical engineering applications.