Professional MATLAB source code with comprehensive documentation and examples
DRAM Algorithm is an enhanced Markov Chain Monte Carlo (MCMC) sampling method that builds upon classical MCMC approaches by incorporating improved strategies to achieve faster and more stable convergence. This algorithm implements multidimensional jo
An enhanced implementation of second-order statistics-based blind source separation algorithm with optimized computational efficiency and separation accuracy through improved signal processing techniques.
MATLAB code for Snakes algorithm with detailed implementation guide and parameter explanations for active contour models
This paper investigates the tracking of two-dimensional aerial maneuvering targets moving at constant velocity, utilizing the Interactive Multi-Model (IMM) method for radar target tracking with algorithm implementation insights.
Comprehensive Python implementation of logistic regression algorithm including data preprocessing, feature engineering, and model training with practical dataset validation
MATLAB implementation of PID controller parameter optimization using Kalman filter algorithm, designed to run in MATLAB environment with comprehensive code structure and algorithmic details
Implementation of k-means algorithm for dynamic clustering using MATLAB with graphical analysis of classification results, exploring algorithm performance and optimization approaches.
Digital Predistortion System employing Wiener-Hammerstein power amplifier model, memory polynomial predistortion model, and adaptive RLS-LMS hybrid algorithm for parameter optimization.
Source code implementation of the fourth-order cumulants-based MUSIC algorithm, an enhanced version of standard MUSIC algorithm for Direction of Arrival (DOA) estimation with improved noise robustness and accuracy
A highly effective finite element method implementation developed in MATLAB, featuring robust numerical computation capabilities for engineering problem-solving.
K-Centroids Clustering, a method distinct from K-Means clustering, as introduced in the 2007 SCIENCE article "Clustering by Passing Messages Between Data Points" using message-passing algorithms for data grouping
Data Dimensionality Reduction Toolbox featuring classical algorithms including PCA, LLE, MDS, LDA with implementation details and parameter customization
MATLAB-based compressed sensing implementation featuring DCT, DWT, DFT orthogonal bases and overcomplete dictionaries for sparse signal decomposition and reconstruction, including algorithm workflows and key function demonstrations
A MATLAB example demonstrating Backpropagation Network implementation using Levenberg-Marquardt algorithm for enhanced training speed and superior performance in pattern recognition applications
Implementation and comparative analysis of indoor fingerprint localization algorithms including Nearest Neighbor (NN), K-Nearest Neighbors (KNN), and Weighted K-Nearest Neighbors (WKNN). The code is executable with comprehensive comments, featuring a
MATLAB program for moving least squares algorithm, suitable for surface and curve fitting applications with enhanced computational efficiency
This region growing-based program is primarily designed for false alarm elimination and can calculate the area of each connected component in binary images. The implementation utilizes connected component analysis with seed point selection and neighb
MATLAB implementation of Kernel PCA using polynomial kernel function with detailed comments for clear understanding. This code demonstrates dimensionality reduction and data visualization techniques.
Principal Component Analysis Toolkit including source code implementations for both Principal Component Analysis and Independent Component Analysis algorithms.
This uploaded code provides a comprehensive implementation of the K-means clustering algorithm, featuring detailed step-by-step comments and practical applications for data science and machine learning projects.