Explore MATLAB source code curated for "算法" with clean implementations, documentation, and examples.
MATLAB source code implementation of an adaptive median filter algorithm for image processing applications, featuring noise reduction and detail preservation capabilities through dynamic window sizing and intelligent pixel value replacement.
Implementation of a MATLAB-based algorithm to solve the classic river crossing problem involving merchants and cargo transportation constraints.
Complete background subtraction algorithm with source code from "A Statistical Approach for Real-time Robust Background Subtraction and Shadow Detection"
Latin Hypercube Sampling algorithm for power flow calculations, which can be utilized for probabilistic power flow analysis with implementation insights into sampling techniques and variable distribution handling
This MATLAB implementation demonstrates telephone user arrears prediction using Markov chain algorithms, featuring comprehensive code commenting for each functional block to facilitate understanding of state transitions and probability calculations.
This MATLAB implementation of the MOPSO algorithm provides a practical tool for solving multi-objective optimization problems. The code demonstrates particle swarm dynamics with Pareto-based selection mechanisms for engineering applications.
Implementation of Iterative Optimal Threshold Segmentation Algorithm using Bayesian Classification for Image Thresholding - Successfully running in MATLAB 7.0 environment with error-free execution
This is my custom implementation of a compressive sensing image reconstruction algorithm that directly observes the original 2D signal and performs final image restoration with code-level implementation details
A custom-developed Sparse Representation Classification (SRC) program designed to demonstrate SRC principles and algorithms through practical code implementation and technical explanations.
MATLAB source codes for three widely-used image fusion algorithms: IHS transformation, PCA-based fusion, and weighted fusion methods, including implementation details and algorithm explanations.