Explore MATLAB source code curated for "D" with clean implementations, documentation, and examples.
Comprehensive set of image fusion performance evaluation metrics including D (Difference), MSE (Mean Squared Error), PSNR (Peak Signal-to-Noise Ratio), SF (Structural Similarity), RMSE (Root Mean Squared Error), NCD (Normalized Color Difference), REL (Relative Error), MI (Mutual Information), MAE (Mean Absolute Error), DREL (Dynamic Relative Error), EOG (Edge Orientation Gradient), CREF (Color Fidelity) with code implementation insights
This model implements a boost converter with PID control algorithm. The system employs proportional-integral-derivative (PID) control logic where adjusting the P, I, and D coefficients enables optimized dynamic response. The implementation includes parameter tuning methods for achieving desired performance characteristics.
x(n+1) = x(n) + dt * (B * x(n) - D * x(n) - Dc * x(n) * x(n)) - Discrete-time dynamic system with linear growth, mortality, and quadratic competition terms
This MATLAB code requires three input parameters: d (period constant in metamaterial thickness direction), f (frequency range), and S (scattering parameters obtained from CST or HFSS simulations). The implementation requires S-parameter data to be stored in an Excel file named "asd" placed in the MATLAB path. The Excel file must contain frequency values in the first column, real and imaginary parts of S11 parameters in the second and third columns, and real and imaginary parts of S21 parameters in the fourth and fifth columns respectively.