Explore MATLAB source code curated for "详细说明" with clean implementations, documentation, and examples.
While 1D k-means clustering examples are widely available online, this implementation provides comprehensive 2D k-means clustering code written by international developers. The code includes detailed documentation and can be easily customized for integration into various projects with minimal modifications.
Implementing camera self-calibration parameter computation with genetic algorithms, accompanied by detailed MATLAB code and comprehensive paper documentation
This OFDM simulation package includes MATLAB-based implementations with detailed documentation. The complete solution features bit error rate analysis, performance evaluation metrics, and automated plotting scripts for visualization. Core components cover modulation/demodulation, cyclic prefix handling, and channel modeling techniques.
A comprehensive guide to the Relief algorithm including practical programs and examples suitable for beginners, with code implementation details and algorithm workflow explanations
MATLAB clustering algorithm implementation featuring absolute distance, Chebyshev distance, and mean distance metrics. Includes a GUI interface with detailed documentation for practical usage and algorithm analysis.
A comprehensive MATLAB implementation of decision tree algorithm with detailed explanations and code descriptions
Latest MATLAB code for SIFT (Scale-Invariant Feature Transform) algorithm with comprehensive documentation, featuring robust performance in image feature extraction, keypoint detection, and descriptor matching implementations.
Implementation of the classic MMSE algorithm for MIMO-OFDM channel estimation, featuring detailed explanations and MATLAB code demonstration
This MATLAB implementation of multi-objective particle swarm optimization provides a thoroughly tested framework with detailed documentation for immediate application in solving complex optimization problems with multiple objectives.
Implementation of wavelet image fusion with detailed explanations on different criteria for low-frequency and high-frequency coefficients processing, including algorithm descriptions and key function demonstrations.