Professional MATLAB source code with comprehensive documentation and examples
Region growing algorithm for brain image segmentation implementing dual seed point strategy to achieve complete white matter segmentation, includes code implementation insights and algorithm workflow.
This active learning algorithm utilizes committee query methodology with key improvements, employing kernel transformations to efficiently handle multi-dimensional data processing through optimized feature space mappings and ensemble decision strateg
An Extended Kalman Filter (EKF) algorithm based on motion models, applicable to any nonlinear system representable in state-space form, achieving near-optimal estimation accuracy through iterative prediction and correction cycles.
Simulation of wireless localization algorithms - showcasing implementation techniques and performance evaluation. Feedback and suggestions are welcome for continuous improvement.
SOMP (Subspace Orthogonal Matching Pursuit) is a subspace reconstruction algorithm in compressed sensing. This repository provides MATLAB/Python implementation code and technical paper discussing the algorithm's sparse signal recovery mechanism and i
MATLAB implementation of Levenberg-Marquardt optimization algorithm for nonlinear least squares problems with comprehensive code structure analysis and parameter configuration examples
Comprehensive exploration of BP neural network algorithms with code-oriented explanations, specifically designed for beginners to effectively understand neural network fundamentals and practical implementations.
PCA algorithm for feature extraction in facial recognition, which is the most widely used traditional facial recognition technique. This method achieves dimensionality reduction by constructing feature subspaces through eigenvalue decomposition of co
Extended Kalman Filter (EKF) - A Nonlinear Dynamic Filtering Algorithm with Online Linearization for State Estimation
An algorithm for performing fractional Fourier transform, enabling arbitrary-order transformations of functions with flexible parameterization and computational approaches
The DMC Dynamic Matrix Control Algorithm is an advanced predictive control technique that utilizes historical system data to forecast future outputs. This comprehensive guide covers its core principles, MATLAB implementation considerations, and indus
Technical implementation of ROMP algorithm for compressed sensing applications in image processing, featuring MATLAB/Python code demonstrations and signal reconstruction methodologies.
This MATLAB implementation of the ICP algorithm reads 3D point cloud data and features duplicate registration avoidance, robust ICP registration with outliers, and manual outlier removal for improved point cloud alignment.
Implementation of Ant Colony Optimization algorithms focusing on Quality of Service aspects, featuring code solutions for service optimization challenges including customer service management, feedback processing, and service level improvement throug
Source code implementation of Voice Activity Detection (VAD) algorithm, providing reference for silence detection applications with detailed comments and modular function implementations
A collection of practical MATLAB examples for GPS signal processing, containing complete telegram data structures and algorithm implementations for satellite positioning analysis and navigation data decoding.
Contains simple examples of Capon algorithm, Root-MUSIC algorithm, and spectral estimation MUSIC algorithm. Provided in MATLAB .m file format, ready-to-run without errors, with practical code implementation details.
A MATLAB-based constrained nonlinear programming algorithm library, ideal for learning and practical applications with comprehensive code implementations and optimization techniques.
The Knapsack Problem is a classic combinatorial optimization challenge: given a set of items with individual weights and values, determine the optimal selection of items to include in a knapsack such that the total weight does not exceed a specified
MATLAB Nonlinear Kalman Filter Toolbox featuring UKF, PF, and other algorithms with robust implementation for nonlinear state estimation