Windowing Signals in MATLAB: A Step-by-Step Guide with Code Examples

To window the signal, we can use the 'hamming' function in MATLAB. Here's an example code to window the signal:

% Define the signal
fs = 1000; % Sampling frequency
t = 0:1/fs:1-1/fs; % Time vector
x = 10*sin(2*pi*64*t) + sin(2*pi*250*t) + 20*sin(2*pi*256*t) + 3*sin(2*pi*260*t) + 10*sin(2*pi*512*t);

% Define the window length and type
win_len = 256; % Window length
win_type = 'hamming'; % Window type

% Create the window
win = hamming(win_len);

% Apply the window to the signal
x_win = x .* win';

% Plot the original and windowed signals
figure;
subplot(2,1,1);
plot(t, x);
title('Original Signal');
xlabel('Time (s)');
ylabel('Amplitude');
subplot(2,1,2);
plot(t, x_win);
title('Windowed Signal');
xlabel('Time (s)');
ylabel('Amplitude');

In this code, we first define the signal 'x' as before. We then define the window length 'win_len' and window type 'win_type'. We use the 'hamming' function to create the window 'win'. We then apply the window to the signal 'x' using element-wise multiplication and store the result in 'x_win'. Finally, we plot the original and windowed signals using the 'subplot' function.