Performance Comparison of Decode-and-Forward, Detect-and-Forward, and Amplify-and-Forward BPSK in Flat Fading with AWGN

This document presents a comparative analysis of three cooperative relaying schemes – Decode-and-Forward (DF), Detect-and-Forward (DetF), and Amplify-and-Forward (AF) – using BPSK modulation in flat fading channels with Additive White Gaussian Noise. The analysis includes error rate performance, implementation complexity, power requirements, and practical simulation considerations using MATLAB/Simulink approaches.

Plotting and Analysis of Three Major Probability Distributions: t, F, and Chi-Square

This MATLAB program performs graphical analysis of three key probability distributions (t, F, and chi-square) by plotting curves under different parameter settings. The implementation allows visual comparison of how various parameters affect distribution shapes, utilizing MATLAB's statistical functions for accurate probability density function calculations.

S-Parameter Conversion MATLAB

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.