Image Fusion Toolbox
A comprehensive image fusion toolbox sourced from an international platform, featuring robust algorithms and sample source images suitable for comparative experiments and performance evaluation.
Explore MATLAB source code curated for "工具箱" with clean implementations, documentation, and examples.
A comprehensive image fusion toolbox sourced from an international platform, featuring robust algorithms and sample source images suitable for comparative experiments and performance evaluation.
My custom-developed genetic algorithm toolbox featuring multiple encoding schemes and crossover/mutation operations - available for download with comprehensive implementation details
MATLAB Simulated Annealing Algorithm Toolbox - A widely-used free international toolbox operating in MATLAB environment. Detailed usage instructions are included in the compressed package, featuring implementation of standard simulated annealing optimization procedures with customizable parameters and annealing schedules.
Comprehensive SVM Matlab Toolbox for Classification and Regression Tasks
Contourlet Transform Toolbox - A powerful tool recently gaining significant traction in image denoising and fusion applications
Higher-Order Spectrum Toolbox for Digital Signal Processing, including comprehensive documentation and usage instructions with code implementation examples
This comprehensive resource covers extensive tools including correlation dimension analysis, information content measurement, GP algorithm implementations, and entropy calculations. Each problem type is approached with multiple methodologies for comparative analysis, featuring Lorenz system algorithms. Represents curated results from systematic organization efforts.
This toolbox implements the KSVD algorithm for adaptively achieving sparse signal representations with optimized sparsity characteristics through dictionary learning and sparse coding techniques.
Stock Market Nonlinear Analysis and Prediction Toolbox integrates the original nonlinear time series analysis toolbox programs, featuring multiple complexity analysis methods (such as Higuchi's method, box-counting method), phase space reconstruction techniques (Cao's method, GP algorithm, mutual information method), maximum Lyapunov exponent determination (Wolf's method, small data sets method) and prediction procedures (Lyapunov exponent method, one-step multi-step prediction, etc.). The toolbox demonstrates high execution efficiency and practical usability, with optimized algorithms for real-world financial data processing.
Radar Array Signal Processing Toolbox providing comprehensive modeling and simulation capabilities for both active and passive radar signals, accompanied by multiple practical implementation examples demonstrating key algorithms.