Auto-Focusing Functions Based on Gray Gradient
This MATLAB code was developed for my graduation project's auto-focus simulation experiments, implementing comprehensive simulations of gray gradient-based focus evaluation functions
LDPC Decoder Simulation Experiment Using Simulink
LDPC decoder simulation experiment implemented using Simulink, featuring a comprehensive simulation diagram and detailed parameter tuning process for performance validation
Electrical Impedance Tomography Simulation Software
Electrical Impedance Tomography Simulation Software designed for conducting simulation experiments in electrical impedance tomography, with the capability to import and process measured experimental data for comprehensive imaging analysis
Speech Signal Processing Using Gabor Atom Dictionary with Matching Pursuit Algorithm
This implementation processes speech signals through a Gabor atom dictionary using matching pursuit algorithm. The program demonstrates excellent performance with successful simulation experiments on various speech signals, featuring efficient sparse representation and signal reconstruction capabilities.
Simulation Experiment for Signal Frequency Estimation
Three complex sinusoidal signals with SNR values of SNR1=30dB, SNR2=30dB, and SNR3=27dB were analyzed using an MVDR method based on singular value decomposition (SVD). The simulation employed 1000 signal samples and a 4-tap FIR filter to estimate the power spectral density function. The implementation involves covariance matrix construction, eigenvalue decomposition, and adaptive weight calculation for spectral estimation.
Various Digital Watermarking Attacks
MATLAB code implementations for various digital watermarking attacks, suitable for simulation experiments with convenient and straightforward function calls
Research on Channel Estimation Algorithms in MIMO Systems
This research presents simulations based on the analytical conclusions of the LS algorithm. Following the analysis results, simulation experiments will be conducted to investigate the effects of signal-to-noise ratio values, training sequence length, and optimal training selection. The implementation will include parameter sweep configurations and performance evaluation metrics for comprehensive algorithm assessment.
Comparative Analysis of Genetic Neural Networks in Control Systems
To evaluate the comparative performance of genetic neural networks in control systems, we conducted simulation experiments using indoor temperature control as a case study. With temperature targets set at 18°C and 20°C while maintaining consistent parameters, we compared standard neural networks against genetic algorithm-optimized neural networks. The implementation involves using MATLAB's Neural Network Toolbox for baseline models and custom genetic algorithm code for optimization. Simulation results demonstrate that genetic algorithm-optimized neural networks exhibit superior generalization capability and faster convergence rates through population-based weight optimization and fitness-driven selection processes.
Simulation Experiments of Reinforcement Learning Algorithms
Reinforcement learning algorithm simulation experiments in multi-user environments, with a focus on the application of multi-user Q-learning algorithms
Solving TSP Problems Using Genetic Algorithms with Implementation Details
This program demonstrates a step-by-step implementation of genetic algorithms for solving Traveling Salesman Problems (TSP), featuring detailed code execution processes. Simulation results confirm the program's feasibility and effectiveness, accompanied by comprehensive result visualizations.