Unscented Particle Filter Routine
Unscented Particle Filter routine with a simple tracking application. Implementation in a clutter-free environment demonstrates core algorithm performance.
Explore MATLAB source code curated for "环境" with clean implementations, documentation, and examples.
Unscented Particle Filter routine with a simple tracking application. Implementation in a clutter-free environment demonstrates core algorithm performance.
A support vector machine (SVM) toolbox designed for MATLAB environments, with essential features for researchers and practitioners working in machine learning.
In the MATLAB environment, the Relevance Vector Machine (RVM) method is employed for tracking and predicting the failure process progression of test objects, utilizing machine learning-based probabilistic forecasting with sparse Bayesian modeling.
A set of MATLAB-based Chinese character recognition algorithm programs designed to assist MATLAB enthusiasts in implementing and understanding character recognition techniques, featuring practical code examples and implementation approaches.
This MATLAB-based program framework enables 3D reconstruction implementation, ideal for learning how to convert 2D images into 3D models with comprehensive algorithm explanations and key function descriptions.
CDMA system simulation program with validated performance analysis under various environmental conditions, featuring customizable parameters for signal processing and interference studies
A complete fuzzy control algorithm implementation using BP neural networks, fully executable in MATLAB environment with neural network training and control optimization capabilities
This research presents a path planning algorithm designed for target mobile robots operating in unknown environments. The algorithm enables autonomous navigation through static obstacles while finding collision-free paths to reach specified goals. Our approach allows the robot to move from initial positions to final target locations using grid-based mapping of unknown environments with static unknown obstacles. The robot achieves obstacle avoidance through remote sensing techniques while minimizing costs related to time, energy consumption, and travel distance. The proposed path planning strategy ensures the robot completes two primary tasks: avoiding obstacles and safely reaching its destination.
An LDPC encoding and decoding program developed using MATLAB as the primary environment, featuring comprehensive code implementation insights and performance analysis for error correction applications.
Implementation of 2D wavelet transform (forward and inverse) using two-dimensional convolution in MATLAB, featuring a sub-function for generating wavelet coefficients (including both decomposition and reconstruction coefficients). Users can extend functionality by adding custom coefficients.