Professional MATLAB source code with comprehensive documentation and examples
New version code utilizing Extended Kalman Filter for Simultaneous Localization and Mapping (SLAM), primarily designed for robotic positioning and automated map construction with enhanced algorithmic implementations.
A principal component analysis function in MATLAB, particularly suitable for beginners, with detailed code implementation and algorithm explanations
IWO algorithm implementation using MATLAB, featuring comprehensive code documentation and optimization visualization capabilities
Orthogonal Matching Pursuit Algorithm for Compressive Sensing
MATLAB code for EM algorithm implementation. The extracted package can be directly executed in MATLAB environment to demonstrate expectation-maximization for statistical parameter estimation and clustering applications.
Adaptive mesh finite element computational method written in MATLAB, offering high computational efficiency with dynamic mesh refinement capabilities
System simulation and identification techniques including Recursive Least Squares (RLS) and advanced identification theories, suitable for system simulation applications with practical MATLAB implementation examples.
Code implementation from Yi Ma et al.'s PAMI paper on the most popular sparse representation algorithms
This article presents a MATLAB-based implementation of using autocorrelation functions to determine delay time for chaotic time series, including algorithmic approaches and key programming considerations for practical applications.
Compressive Sensing: Model Examples Using Non-Traditional Sampling and Diverse Applications with Algorithm Implementations
Phase Space Construction Parameters and Implementation Approaches
MATLAB source code implementations for fundamental pattern recognition algorithms including Least Squares, SVM, Neural Networks, K-Nearest Neighbors (KNN), Editing Methods, Feature Selection, and Feature Transformation techniques.
This routing simulation program employs a combination of greedy algorithms and the right-hand rule for navigation, featuring parameter-adjustable implementations and visual demonstrations for educational purposes.
A robust 3D radar tracking particle filter implemented using MATLAB programming, featuring enhanced algorithms for multi-target tracking and sensor fusion capabilities
This resource provides comprehensive coverage of the alternating projection algorithm for maximum likelihood estimation, including detailed MATLAB simulation source code with implementation insights and algorithmic explanations.
Variance component estimation method effectively improves GPS single point positioning accuracy with robust signal quality assessment
This simulation program implements the eight-point algorithm in computer vision, which computes the fundamental matrix using SVD decomposition of least-squares solutions, with detailed code implementation for essential matrix estimation.
Compressive Sensing Theory and Sparse Decomposition Toolbox with detailed user manuals and extensive practical routines for implementation
Source code implementation for permanent magnet synchronous motor fault diagnosis and fault-tolerant control based on Kalman filter technology, originally published and indexed in the ICACMVE'07 conference proceedings. The implementation features rob
A complete and well-documented MATLAB source code implementation for GPS (Global Positioning System), featuring comprehensive algorithm implementations and detailed technical explanations.