Explore MATLAB source code curated for "应用" with clean implementations, documentation, and examples.
Implementation and Applications of Affinity Propagation Clustering: Given a data matrix as input, the algorithm automatically determines the optimal number of clusters and assigns data points to appropriate categories based on similarity measures, without requiring pre-specification of cluster count.
Auto-focus technology leverages image processing algorithms and MATLAB hybrid programming to automatically adjust camera or microscope focus for sharper image capture, with applications spanning medical imaging, industrial inspection, and aerial photography.
MATLAB implementation code for Tamura texture feature extraction and application, including referenced literature on Tamura textures and test images for validation.
A self-developed MATLAB implementation of wavelet neural network that has been successfully applied in practical scenarios, featuring optimized algorithms for complex data processing.
Source code implementation of the Probabilistic Data Association Filter (PDAF) algorithm from He You's "Radar Data Processing and Applications," featuring multi-target tracking with measurement association probabilities and Kalman filter integration.
Source code implementation for simulating Kalman Filter applications in target tracking systems, featuring noise estimation and trajectory prediction algorithms
Classification using Radial Basis Function (RBF) Neural Networks with implementation insights
Application of Support Vector Machine Regression in stock market forecasting, supported by research papers and comprehensive simulation curves demonstrating implementation effectiveness
BP neural network can predict future population values by analyzing population data from previous years, utilizing backpropagation algorithm for model training and optimization.
The G-P algorithm for determining embedding dimension has been thoroughly debugged and is now operational, making it readily applicable for practical implementations with enhanced computational efficiency.