PCA and Fisher Face Recognition Implementation
Complete PCA and Fisher face recognition code with detailed comments, ready for immediate implementation and customization.
Explore MATLAB source code curated for "注释" with clean implementations, documentation, and examples.
Complete PCA and Fisher face recognition code with detailed comments, ready for immediate implementation and customization.
Detailed explanation of LMS and RLS adaptive filtering algorithms with comprehensive comparative analysis and annotated code implementation insights
A self-developed least squares image matching program written in August 2012, thoroughly tested with comprehensive code comments, featuring robust pixel-level registration capabilities and error minimization techniques.
A self-implemented chaotic optimization algorithm featuring detailed inline comments and clean code structure, designed for educational purposes and foundational algorithmic understanding
Deep Learning Convolutional Neural Networks (CNN) with detailed annotations and code examples - An excellent reference resource featuring implementation walkthroughs and architecture explanations
This code implements chain code extraction for image edge detection, where 'img' represents the input image, 'Array' stores the resulting chain codes, 'x0y0' contains initial point coordinates, 'xy' records the final point coordinates, and 'Ratio' calculates chain code curvature. The implementation uses boundary tracing algorithms to follow edge contours and generates directional codes (typically using 4 or 8-connectivity) representing edge segment orientations. Comment annotations explain the logic for international developers. Currently developing phase coding implementations - collaboration welcome for researchers interested in this domain.
Annotated Particle Filter program: Particle Filter (PF) is based on Monte Carlo methods, representing probability distributions using particle sets, applicable to any form of state-space model with detailed algorithm explanations and code implementation insights.
This MATLAB program enables the construction of partial least squares (PLS) regression models, featuring comprehensive line-by-line code annotations that facilitate program comprehension and modification.
MATLAB neural network source code for digit recognition implementation, featuring comprehensive code annotations and detailed algorithm explanations.
Implementation of Lyapunov exponent calculation methods in chaos theory using MATLAB software, including partial code annotations and algorithm explanations