MRI Image Analysis Toolkit Developed with MATLAB
A comprehensive MATLAB-based toolkit for MRI image analysis, processing, and visualization with advanced algorithms and code implementations.
Sparse Coding Toolkit
A MATLAB-implemented sparse coding toolkit that mathematically solves L1-norm minimization problems through optimization algorithms
SAR Imaging Processing Toolkit
A comprehensive toolkit for SAR imaging processing, featuring multiple algorithms including Polar Format Algorithm (PFA), Range Migration Algorithm (RMA), Backprojection (BP), and Chirp Scaling Algorithm (CSA).
indexGA: A Toolkit for Natural Number Encoding Genetic Algorithms
The indexGA toolkit for natural number encoding genetic algorithms, accompanied by algorithm routines implementing vehicle routing optimization problems using this toolkit
Partial Least Squares Toolbox
Eigenvector's Partial Least Squares Toolbox - Version 3.0. Standalone/no installation required. Includes PLS regression, discriminant analysis, and multivariate calibration algorithms with MATLAB-compatible functions.
Variational Partial Differential Equations Image Processing Toolkit
Variational PDE Image Processing Toolkit featuring 29 practical algorithms including curvature calculation, variance estimation, L1/L2 norm computations, and other essential image processing operations with mathematical foundation and implementation examples.
SVM Toolbox for Image and Hyperspectral Image Processing
A MATLAB-based SVM toolkit designed for image processing and hyperspectral image analysis, featuring implementation of core classification algorithms and spectral data handling capabilities.
OMP10 Toolkit: Optimization Package with KSVD13 Integration
The OMP10 toolkit is designed to work synergistically with KSVD13 for solving complex optimization problems, featuring multiple algorithm implementations including linear programming, integer programming, and nonlinear optimization.
Comprehensive Manifold Learning Algorithm Toolkit
A feature-rich manifold learning algorithm toolkit including graphical demo file (demo.fig), featuring Laplacian Eigenmaps implementation, manifold regularization adjustment, SVM classification algorithms, and other essential components for machine learning research.
Mutual Information Theory Toolkit with Core Functions for MATLAB
A comprehensive MATLAB toolkit for mutual information theory, featuring algorithms for calculating mutual information, entropy, and related formulas, with detailed code implementations and mathematical foundations