Professional MATLAB source code with comprehensive documentation and examples
Essential for GPS positioning accuracy, this MATLAB-based program calculates satellite orbital coordinates through real-time monitoring and orbital position updates, incorporating algorithms for coordinate transformation and ephemeris data processing
This code implements target tracking using the Mean-shift algorithm. The implementation is functional, straightforward, and well-commented, featuring core functions for histogram calculation, weight computation, and position iteration.
Comprehensive exploration of Wiener filter, Kalman filter, and adaptive filter design techniques, including signal extraction and analysis with code implementation insights
A MATLAB-implemented Unscented Kalman Filter (UKF) program designed for bearings-only target tracking systems, suitable for applications in UAVs, autonomous vehicles, and robotics.
A practical Kalman filtering experiment demonstrating target trajectory tracking with MATLAB code implementation, serving as an excellent learning example for signal processing and state estimation applications
Regularization of ill-conditioned equations with MATLAB implementation of regularization algorithms, including code examples for L1 and L2 regularization techniques.
Concealed Generalized Predictive Self-Tuning Control Algorithm, implemented within the MATLAB development environment with embedded parameter estimation and predictive optimization modules
Chaos and Fractal Theory represents a cutting-edge financial market framework. This repository provides routine implementations for chaos and fractal analysis, available for download. The code includes demonstrations of key algorithms such as Lyapuno
Comprehensive coverage of shortest path and minimum spanning tree algorithms with practical implementation examples, highly valuable for mathematical modeling competitions and network optimization problems
This resource presents five fundamental dynamic analysis algorithms including Modal Superposition Method, Newmark Integration Algorithm, and Central Difference Method, complete with MATLAB m-file implementations for practical application.
This program implements piecewise least squares algorithm for curve fitting, enabling segmented fitting of models to enhance accuracy and precision through data partition optimization.
Adaptive Filtering Program Based on LSL Least Squares Lattice Algorithm and Its Applications
Simulation of the New Chen Time-Delay Chaotic System - A Beginner's Guide with Implementation Insights
A MATLAB implementation of integrated SINS/GPS navigation using adaptive filtering algorithms for enhanced navigation data fusion, achieving significant performance improvement.
Provides MATLAB routines for DOA estimation with ESPRIT algorithm and smart antenna simulations, including implementation details for signal processing applications.
INS Strapdown Inertial Navigation Solving Implemented with Fourth-Order Runge-Kutta Method, Including Simulation Dataset for Verification
This MATLAB program implements the Expectation-Maximization (EM) algorithm, featuring clear code structure and detailed implementation insights for collaborative learning.
An efficient and user-friendly implementation of convex hull solving algorithms from computational geometry, designed for immediate practical application with simple function calls
Implementation of real-time vehicle monitoring and navigation, including traffic flow detection, trajectory analysis, and related functionalities with code-based solutions.
This compressed package contains several widely-used classic data mining algorithms including k-means, CART, fuzzy k-means, ID3, and SVM - all with practical implementation value and code examples.