Explore MATLAB source code curated for "源码" with clean implementations, documentation, and examples.
MATLAB implementation of DCT-based image compression algorithm that divides images into 8x8 blocks, performs DCT transformation and quantization, then reconstructs the compressed image with comprehensive technical documentation and code explanations.
This source code repository provides an extensive summary of precoding techniques in MIMO systems, containing most implementations related to MIMO technology. These MATLAB/Python implementations help researchers understand practical applications and algorithm optimization approaches for different precoding schemes, including Zero-Forcing, MMSE, and SVD-based methods through practical simulation examples.
Implementation of STBC (Space-Time Block Code) encoding schemes in space-time coding, including source code demonstrations for 2-transmit-1-receive antenna configurations and single-input-single-output (SISO) antenna systems
Comprehensive MATLAB source code for LEACH (Low-Energy Adaptive Clustering Hierarchy) protocol simulation, featuring complete implementation with algorithm explanations and key function descriptions
Complete source code implementation of Dr. Lowe's seminal SIFT algorithm, including comprehensive documentation, detailed code comments, and additional affine transformation functions I've ported and annotated. An exceptionally valuable resource for beginners and researchers working with feature detection and image matching algorithms.
Comprehensive exploration of the Ant Colony Clustering Algorithm with detailed source code analysis and implementation insights
Implementation of genetic algorithm solution for target assignment using MATLAB development environment
Source code from the 2007 ICIP International Conference paper for implementing image deconvolution restoration, featuring blind deconvolution algorithms and PSF estimation techniques.
Digital channel receiver source code developed for graduation project, featuring signal processing algorithms and demodulation techniques - suitable for digital communications research and implementation
Recently developed custom source code for median and mean filtering algorithms, now sharing with the community for educational and practical applications.