MATLAB: Plot Signals A & B, Combined Y, and Y with Gaussian Noise Using Subplot

% Parameters fs = 1000;
% Sampling frequency: 1 kHz T = 0.1;
% Total time: 100 ms t = 0:1/fs:T-1/fs;
% Time vector (100 samples)  % Signal A: Example - 50 Hz sine wave A = sin(2*pi*50*t);
% Signal B: Example - 200 Hz sine wave B = 0.7 * sin(2*pi*200*t);
% Combined signal Y = A + B Y = A + B;
% Add white Gaussian noise with variance 2 (standard deviation = sqrt(2) ≈ 1.414) noise = sqrt(2) * randn(size(t));
% White Gaussian noise with variance 2 Y_noisy = Y + noise;
% Create figure with subplots figure('Name', 'Signal Plotting', 'NumberTitle', 'off');
% Subplot 1: Original signals A and B sub
plot(3,1,1);
plot(t*1000, A, 'b', 'LineWidth', 1.5);
hold on;
plot(t*1000, B, 'r--', 'LineWidth', 1.5);
grid on;
title('Signal A (blue) and Signal B (red)');
xlabel('Time (ms)');
ylabel('Amplitude');
legend('A (50 Hz)', 'B (200 Hz)');
hold off;
% Subplot 2: Combined signal Y = A + B (clean) sub
plot(3,1,2);
plot(t*1000, Y, 'g', 'LineWidth', 1.5);
grid on;
title('Combined Signal Y = A + B (clean)');
xlabel('Time (ms)');
ylabel('Amplitude');
% Subplot 3: Combined signal Y with white Gaussian noise (variance = 2) sub
plot(3,1,3);
plot(t*1000, Y_noisy, 'k', 'LineWidth', 1.2);
grid on;
title('Signal Y with White Gaussian Noise (variance = 2)');
xlabel('Time (ms)');
ylabel('Amplitude');
% Adjust layout sg
title('Bidirectional AC-DC Converter Control Signals Simulation Example');
set(gcf, 'Position', [100 100 900 600]);