Professional MATLAB source code with comprehensive documentation and examples
Compressed sensing technology represents a cutting-edge research focus in recent years, featuring a comprehensive compilation of various compressed sensing algorithms implemented in MATLAB, including sparse representation approaches, compressive sens
This EKF program effectively solves target tracking problems using nonlinear filtering approaches, featuring robust performance and well-structured code organization with key functions for prediction and update steps.
A Kalman filter algorithm implementation designed for radar track processing applications
Comprehensive collection of interpolation algorithms including Gaussian interpolation, linear interpolation, Newton interpolation method, and Hermite matrix interpolation with practical MATLAB implementations
This implementation provides the GN (Girvan-Newman) algorithm for community detection in complex networks, featuring modularity optimization and edge betweenness calculations to help researchers analyze network structures effectively.
MATLAB source code for feature extraction through Principal Component Analysis in pattern recognition, including algorithm implementation and key function explanations
Implementation of Arithmetic Coding Algorithm for Data Compression in MATLAB with Code Examples
Implementation of GPS Kalman Filter Simulation for Enhanced Positioning Accuracy
Variable Structure IMM Algorithm and Adaptive Model-Set Switching IMM Algorithm (AGIMM) with Implementation Insights
Implementation of multiple linear regression with least squares method in MATLAB, including algorithm explanation, key function usage, and data visualization techniques.
Integrated navigation program focusing on dead reckoning algorithm implementation
Implementation of computational algorithms for strapdown inertial navigation system parameters including velocity, geographic coordinates, and attitude angles with sensor error compensation
AR model spectrum estimation algorithm provides significant assistance for beginners exploring AR spectrum estimation, helping understand basic model construction and iterative procedures for spectral estimation with practical code implementation exa
MATLAB implementation of depth-first search algorithm with added randomness - This program originates from international sources and represents a standard DFS implementation capable of node traversal and cycle detection. The original algorithm has be
MATLAB implementation of DTW algorithm with executable source code requiring minimal modifications
This method implements K-means clustering algorithm in LAB color space for image segmentation combined with Hough transform for circle detection, providing a comprehensive approach to circular object identification in digital images.
A self-contained k-means clustering implementation in MATLAB, developed as a standalone program without relying on MATLAB's built-in kmeans function, featuring algorithm customization and educational value
A hybrid estimation algorithm that leverages the complementary advantages of particle filters and Unscented Kalman Filters (UKF) for accurate one-dimensional state variable estimation with optimized computational efficiency
Complete MATLAB source code package for FDTD (Finite-Difference Time-Domain) electromagnetic simulation algorithm with detailed implementation documentation
A simulation program implementing Kalman filter using the "current" statistical model approach with practical implementation details