Explore MATLAB source code curated for "方法" with clean implementations, documentation, and examples.
The following code implements a recognition application using neural network technology. The probabilistic neural network model aids in pattern identification by incorporating intelligent learning mechanisms through neural network architectures.
A novel method for automatic rigid image registration using MATLAB and C++ hybrid programming for enhanced processing speed, featuring optimized algorithms and parallel computing implementation.
One of the solution approaches for integrals containing nested integral functions - the "Interpolation Solution Method"
MATLAB implementation of quadratic interpolation algorithms from optimization theory textbooks, including parabolic interpolation and three-point quadratic interpolation methods with detailed usage instructions in program documentation
This MATLAB code implements the Prony signal processing method for exponential signal parameter estimation and analysis, featuring algorithm demonstration with synthetic data examples.
This MATLAB implementation demonstrates parameter estimation for Gaussian Mixture Models via the Expectation-Maximization algorithm, featuring clear code structure with detailed comments for easy understanding of the iterative optimization process.
Multi-frame image interpolation-based approaches represent the most intuitive method in Super-Resolution (SR) restoration techniques. These methods first estimate relative motion information between frames to obtain pixel values at non-uniformly spaced sampling points of the High-Resolution (HR) image, followed by non-uniform interpolation to derive pixel values on the HR grid, and finally employ image restoration techniques to remove blur and reduce noise (motion estimation → non-uniform interpolation → deblurring and denoising).
Four distinct methods for implementing the banana function visualization in MATLAB, covering mathematical operations, image processing, numerical computation, and algorithm integration
Implementation of haze removal from images using MATLAB with four distinct approaches: dark channel prior, color restoration, global contrast enhancement, and degradation model-based methods.
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.