Explore MATLAB source code curated for "演示程序" with clean implementations, documentation, and examples.
A comprehensive demonstration program showcasing Support Vector Machine applications in classification problems, featuring both linear and non-linear implementations with practical code examples.
A mini-program demonstrating elastic ball bouncing physics with interactive gameplay
A Support Vector Machine Toolbox featuring MATLAB demonstration programs and essential functions including kernel computation functions, SVM training algorithms, and cross-validation functions for parameter selection. This toolbox provides efficient implementations for key SVM operations with practical code examples.
This program demonstrates the particle filter tracking algorithm, which is suitable for tracking and estimation under nonlinear and non-Gaussian conditions. This expert-level implementation showcases the core concepts of PF tracking, featuring probability distribution sampling, importance weighting, and resampling techniques. The code includes practical implementations of state prediction, measurement updates, and effective sample size calculation.
This package contains MATLAB demonstration programs from the book "Neural Network Design" by Martin T. Hagan, Howard B. Demuth, and Mark H. Beale, featuring practical code examples covering various neural network architectures, training algorithms, and implementation techniques.
PSO Particle Swarm Optimization algorithm demonstration program featuring a graphical user interface with real-time visualization of particle movement and convergence dynamics.
An EKF-based SLAM demonstration program for robot localization and mapping, widely adopted with positive user feedback and practical implementation guidance for algorithm integration
Comprehensive time-frequency distribution analysis toolkit featuring MATLAB implementation, including common time-frequency analysis signals and demonstration programs with detailed code walkthroughs.
Latest AP clustering algorithm implementation and demo program based on the scientific paper "Affinity Propagation" published in Science, featuring efficient similarity matrix computation and cluster center selection.
MN Logic Method for Track Initiation - Demonstration Program Covers Complete Tracking Process in Clutter Environment with Code Implementation Examples