Principal Component Analysis for Face Recognition using PCA
Face Recognition with PCA Analysis in MATLAB - Fully Commented Code Implementation
Explore MATLAB source code curated for "注释" with clean implementations, documentation, and examples.
Face Recognition with PCA Analysis in MATLAB - Fully Commented Code Implementation
MATLAB implementation of edge detection using Canny operator with detailed code annotations and algorithmic explanations
Detailed open-source computer vision object recognition code with comprehensive implementation examples and clear code annotations
A comprehensive Kalman filter implementation featuring a MATLAB GUI interface (matlab-kalman-GUI). This fully commented program includes three practical sample implementations with clear algorithm explanations. Serves as an excellent development guide for understanding and designing various Kalman filter types, featuring key functions for state prediction, measurement updates, and covariance calculations. Includes supplemental documentation from initial learning stages to support research and educational purposes. (No password required)
This MATLAB implementation of the TEEN clustering routing algorithm includes comprehensive code annotations and demonstrates efficient network organization through threshold-sensitive energy-efficient protocols.
MATLAB source code for finger vein recognition with comprehensive annotations and original sample image, including algorithm explanations and key function implementations
MATLAB-based UWB simulation channel models featuring comprehensive code annotations - review TITLE section for implementation details
Recently published Kalman Filter research paper and MATLAB/Python implementation featuring detailed code comments, expert-reviewed methodology, and high-precision filtering algorithms suitable for academic and engineering applications.
MATLAB source code implementation of the feedforward backpropagation neural network algorithm with detailed comments, serving as a fundamental learning routine for programming neural networks. The code demonstrates key aspects including network initialization, forward propagation calculations, error computation, and backpropagation weight updates.
MATLAB implementation of the LMS filtering algorithm featuring comprehensive comments and example code demonstrating adaptive signal processing applications