MATLAB GUI-Based Radar Simulation Source Code
This MATLAB source code implements a comprehensive radar simulation system with GUI interface, featuring detailed implementation and highly realistic simulation results.
Explore MATLAB source code curated for "仿真结果" with clean implementations, documentation, and examples.
This MATLAB source code implements a comprehensive radar simulation system with GUI interface, featuring detailed implementation and highly realistic simulation results.
This article provides a comprehensive introduction to the principles and applications of LDPC encoding and decoding, including simulation results across various channel models with implementation insights for communication systems.
This program implements a dead reckoning positioning and navigation system, incorporating Kalman filtering for precision optimization. The simulation results demonstrate excellent performance, showcasing effective algorithm implementation through proper sensor data integration and noise reduction techniques.
Detailed introduction to LCFA & LCGA spectrum allocation algorithm package with comprehensive simulation results and code implementation analysis
Enhanced PCA applied to the TE chemical process for fault detection and diagnosis, with simulation results demonstrating superior performance compared to traditional PCA methods, including implementation details for anomaly detection algorithms.
Investigated scenarios under Rayleigh fading conditions with 5, 10, and 20 multipath configurations, achieving comprehensive simulation results through proper channel modeling and signal processing implementation.
LTE Downlink Transmission Chain Simulation including matrix generation approach and simulation results analysis
Comprehensive MIMO channel modeling techniques with simulation results, featuring detailed channel modeling explanations and MATLAB implementation approaches
This program simulates the weight convergence of two fixed-step algorithms and one variable-step least mean square error (LMS) algorithm. The simulation results demonstrate that the variable-step algorithm achieves superior performance, with implementation details highlighting step-size adaptation mechanisms.
This algorithm implements DOA (Direction of Arrival) estimation for near-field signals, with simulation results demonstrating the method's effectiveness through performance comparisons and robustness analysis.