MATLAB Implementation of LMS Filtering Algorithm with Detailed Code Explanation
MATLAB implementation of the LMS filtering algorithm featuring comprehensive comments and example code demonstrating adaptive signal processing applications
Explore MATLAB source code curated for "实现" with clean implementations, documentation, and examples.
MATLAB implementation of the LMS filtering algorithm featuring comprehensive comments and example code demonstrating adaptive signal processing applications
Implementation of a spectral clustering algorithm with development of a comprehensive spectral clustering toolbox
MATLAB implementation of Partial Least Squares algorithm with comprehensive code documentation. Simply copy files to MATLAB directory for immediate use. Includes detailed function descriptions, parameter explanations, and usage examples within the code comments.
MATLAB program for iterative learning control featuring both M-file implementations and Simulink models, demonstrating adaptive control through iterative optimization algorithms.
Design and implementation of image-based fragile watermark embedding and extraction algorithms with enhanced security and reliability features
Comprehensive guide to continuous wavelet transform with practical implementation - includes ready-to-run MATLAB code using provided data.mat file for hands-on signal processing experience.
Implementing scene segmentation using C-means clustering algorithm in MATLAB with pixel classification and region identification techniques
Image segmentation achieved through kmeans clustering algorithm with pixel similarity analysis and iterative grouping optimization
Simulink implementation of a direct sequence spread spectrum communication system with detailed model diagrams and component-level simulation analysis
Research and Implementation of Content Authentication Semi-Fragile Watermarking Algorithm. This program implements image semi-fragile watermarking using a DCT-based approach, featuring adaptive embedding strategies and tamper detection mechanisms. Particularly suitable for researchers studying semi-fragile watermarking techniques.