Kalman Filter Applications in Radar Systems
Implementation of Kalman filters in radar systems for aircraft velocity estimation, including raw data processing and algorithm optimization techniques.
Explore MATLAB source code curated for "应用" with clean implementations, documentation, and examples.
Implementation of Kalman filters in radar systems for aircraft velocity estimation, including raw data processing and algorithm optimization techniques.
A comprehensive Simulink model for understanding and implementing bandpass sampling in communication applications
This control algorithm implements a fuzzy controller for robotic obstacle avoidance systems, designed as a multi-input multi-output control system, with simulation results closely matching real-world performance.
Implementation of Particle Swarm Optimization for solving 51-city TSP with customizable city count and positions, including comparative analysis against Genetic Algorithm results for performance evaluation
Implementation of Prony algorithm for low-frequency oscillation analysis in power systems, including frequency and phase identification, damping calculation, and stability assessment through signal processing techniques
This MATLAB program demonstrates the implementation of subspace identification algorithms for blind spot estimation, providing a practical framework for studying subspace-based system identification techniques with comprehensive computational examples and dataset analysis.
Exploration of Genetic Algorithm Applications with Code Implementation Insights
Implementation of custom robust filtering algorithms for initial alignment in inertial navigation systems under stationary base conditions, featuring enhanced noise handling and stability mechanisms
Master MATLAB applications in communication system analysis. Learn to design and analyze a frequency hopping spread spectrum system using MATLAB, including signal generation, modulation/demodulation, and performance evaluation techniques.
Source code implementation of Particle Swarm Optimization algorithm with PDF course materials, including practical examples demonstrating PSO applications for function optimization problems