Function for Calculating Image Mean and Variance
MATLAB-based function for computing image mean and variance values, designed for seamless integration into custom image processing workflows with clear implementation structure
MATLAB Implementation of Fuzzy C-Means Clustering Algorithm with Code Descriptions
A comprehensive MATLAB implementation of Fuzzy C-Means clustering, featuring 10 essential MATLAB functions with detailed algorithm explanations and code implementation insights.
Quantum Immune Genetic Algorithm - Original MATLAB Implementation
Fully original MATLAB implementation of Quantum Immune Genetic Algorithm designed for function minimization. This executable program (resubmitted with corrected format) features quantum-inspired optimization combined with immune system mechanisms and genetic operations.
MATLAB Function for Converting Image Sequences to Video
This MATLAB function implements image-to-video conversion by processing all images within a specified directory and compiling them into a coherent video file.
Canny Edge Detection
Canny edge detection function implementation with parameters: a (input image) and sigma (Gaussian standard deviation) - including algorithm workflow and key processing steps
knn-k-Nearest Neighbors Algorithm Implementation for Binary Classification Function
Function code implementing the k-Nearest Neighbors (k-NN) algorithm for binary classification, which takes feature samples from two classes and a test sample vector as input, and outputs the classification result with detailed implementation explanations.
EMD Decomposition Routine Toolbox
This is an EMD decomposition routine toolbox containing functions and procedures related to EMD decomposition, featuring signal processing algorithms and implementation examples.
Programs for Various Functions and Plots in Extreme Value Theory
MATLAB implementation of various functions and graphical representations in extreme value theory, featuring distribution fitting, probability plots, and risk estimation algorithms.
MATLAB Implementation of Genetic Algorithm for Function Optimization
This MATLAB program implements a genetic algorithm to find the extreme values (minimum/maximum) of mathematical functions, featuring fitness evaluation, selection, crossover, and mutation operations with code-level implementation details.
Kalman Filter Development Kit (MATLAB Version)
The Kalman Filter Development Kit (MATLAB Version) contains numerous well-crafted functions and utilities with powerful capabilities, making it an excellent resource for researchers working on filtering algorithms. The toolkit implements essential Kalman filtering operations including state prediction, measurement update, covariance matrix handling, and noise parameter configuration.