Explore MATLAB source code curated for "修改" with clean implementations, documentation, and examples.
This repository provides well-structured source code for the Artificial Bee Colony (ABC) algorithm in MATLAB. The implementation is highly usable and customizable, allowing modifications to adapt to specific optimization problems. Key components include employed bee phase, onlooker bee selection, and scout bee mechanisms with detailed parameter tuning options.
Program code implementation for modified two-step camera calibration, estimating both internal and external camera parameters through algorithmic optimization
A simple yet practical simulation framework for second-order multi-agent system consensus, suitable for beginners and university students. This model can be modified for experiments and includes code implementation details for velocity and position coordination algorithms.
Modified MB-OFDM-UWB implementation with enhanced features, seeking administrator guidance for one remaining improvement area
Particle Swarm Optimization Algorithm source code implementation with customizable parameters for specific application requirements
A comprehensive example of fuzzy neural network implementation, complete with customizable code structure and parameter tuning guidance for practical project adaptation
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.
Canny operator source code suitable for edge detection in graduation theses - provides a foundational implementation that can be modified and extended for research purposes.
Genetic Algorithm Toolbox with customizable files and embedded functionality, allowing modification of core components and integration of user-defined functions for specific optimization requirements.
This modified algorithm for multi-objective optimization is fully functional and ready for execution.