Practical Implementation of Affine Transformation for 3D Images
A comprehensive guide to implementing affine transformations for 3D images with MATLAB code examples and algorithm explanations, specifically designed for MATLAB beginners.
Explore MATLAB source code curated for "初学者" with clean implementations, documentation, and examples.
A comprehensive guide to implementing affine transformations for 3D images with MATLAB code examples and algorithm explanations, specifically designed for MATLAB beginners.
Bit Error Rate analysis curves using energy detection methodology, ideal for cognitive radio beginners with MATLAB implementation insights
Comprehensive guide to Ant Colony Optimization algorithm with MATLAB source code, designed for beginners. Explores application domains, implementation methodology, and includes executable simulation code with detailed comments. Features practical examples covering path planning, data clustering, and image segmentation applications.
Accompanying MATLAB simulation code for the classic book "Radar System Design with MATLAB Simulations" - essential implementation resources that help beginners reinforce understanding through practical simulation exercises and algorithm demonstrations.
A MATLAB program for fuzzy C-means clustering featuring comprehensive code annotations, implementation insights, and algorithm breakdowns - particularly helpful for beginners in machine learning and pattern recognition.
The Deep Learning MATLAB Toolbox serves as an invaluable starting point for newcomers, providing foundational materials that cover essential concepts, algorithm implementations, and practical coding examples to accelerate learning.
A beginner-friendly panoramic image stitching example demonstrating basic implementation. Simply copy code from txt file to m-file for immediate execution.
Implement nonlinear fitting using a simple bivariate quadratic function with BP neural networks to approximate actual values. Ideal for beginners with MATLAB code implementation examples for training and prediction functions.
This is a foundational implementation of the LDPC code belief propagation (BP) decoding algorithm, offering significant reference value for beginners. The code provides a practical demonstration of message passing techniques and iterative decoding procedures, making it ideal for understanding core LDPC concepts. I personally referenced this implementation during my initial LDPC studies and hope it benefits fellow learners in their exploration of channel coding techniques.
An effective introductory resource for beginners learning Ant Colony Optimization, with proven working code implementation