Optimization Methods: Hooke-Jeeves and Powell Algorithms
MATLAB implementation examples of Hooke-Jeeves and Powell optimization algorithms with simple practical demonstrations
Elastic Ball Bounce Demonstration Program
A mini-program demonstrating elastic ball bouncing physics with interactive gameplay
H-infinity Output Feedback Control for Double Inverted Pendulum System
Implementation of H-infinity output feedback control for a double inverted pendulum using MATLAB's built-in LMI-based functions, featuring robust controller synthesis
MATLAB Implementation for Plotting Chaotic Attractors in Chaotic Systems
A beginner-friendly MATLAB M-file program for visualizing chaotic attractors, developed during my initial exploration of chaos theory. This implementation provides practical code examples for researchers starting their journey in chaotic systems anal
Kalman Filter
The Kalman Filter is an optimal recursive data processing algorithm that provides the most efficient solution for a wide range of problems. This algorithm has maintained over 30 years of extensive applications including robotics navigation, control s
Image Reconstruction Algorithm Based on Compressive Sensing
A beginner-friendly implementation of compressive sensing-based image reconstruction algorithms, featuring practical code examples and fundamental mathematical explanations
Algorithm Implementation for Line Detection Using Hough Transform
Implementation of line detection algorithm using Hough transform with configurable threshold parameters to control line output
MATLAB Implementation of the RANSAC Algorithm
This program implements the RANSAC algorithm and serves as an excellent resource for learning and understanding RANSAC's practical application through code analysis.
Root Music DOA Estimation Algorithm
A concise yet classical Root Music DOA algorithm that employs polynomial root-solving methodology to determine the Direction of Arrival (DOA) of signals with high-resolution spectral analysis capabilities.
Electromagnetic Field Polarization Filtering with Kalman Filter Framework Implementation
Key programs for electromagnetic field polarization filtering accompanied by a classic Kalman filter framework template designed for ready-to-use implementation with plug-and-play adaptability
MATLAB Code Implementation for GPS Signal Simulation
GPS signal simulation including signal generation, acquisition simulation, and related components with code implementation approaches.
Simulation of Robot Path Planning Algorithm (VFH Algorithm) in MATLAB
This project demonstrates a MATLAB simulation of the Vector Field Histogram (VFH) algorithm for robot path planning, including implementation details and performance analysis.
Three Different Fractional Fourier Transform Algorithms: Implementation Approaches and Comparisons
Comprehensive analysis of three distinct fractional Fourier transform algorithms, their comparative performance evaluation, and practical implementation techniques with code-level insights.
gpsoft's Inertial Navigation Toolbox: A Comprehensive Development Toolkit
gpsoft's inertial navigation toolbox offers exceptional utility with robust features for navigation algorithm implementation and sensor data processing.
Rao-Blackwellised Particle Filtering Implementation for Dynamic Conditionally Gaussian Models
MATLAB implementation of Rao-Blackwellised Particle Filter (RBPF) for Dynamic Conditionally Gaussian Models with comprehensive algorithm explanations and code structure details
Comparative Analysis of Various Algorithms in GPS Positioning Methods
Detailed comparison of several positioning algorithms used in GPS systems, accompanied by MATLAB simulation programs with implementation insights
Kirchhoff Integral Forward Modeling Algorithm
This implementation focuses on the Kirchhoff integral forward modeling algorithm, with the Kirchhoff migration algorithm currently under development for future integration.
Hybrid Algorithm Combining Particle Swarm Optimization and K-means Clustering
A hybrid algorithm integrating Particle Swarm Optimization with K-means clustering, featuring enhanced convergence and cluster optimization capabilities worth implementing.
MATLAB Implementation of Principal Component Analysis for Fault Detection in TE Process Data
Implementing Principal Component Analysis for Fault Detection of Fault Type 1 in TE Process Model Data Using MATLAB with Statistical Process Control Charts
Orthogonal Matching Pursuit Algorithm for Compressive Sensing Implementation
Orthogonal Matching Pursuit Algorithm for Compressive Sensing with Code Implementation Insights