function signal_win = rectWin(signal, signal_duration, sampling_freq, pad)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%function signal_win = rectWin(signal, signal_duration, sampling_freq, pad)
% ex.: signal_win = rectWin(signal, 2, 300, 1)
%
% Inputs:
%   - signal: location of the signal to window
%	- signal_duration: duration of the signal in seconds
%	- sampling_freq: sampling frequency in Hz
%   - pad: wether or not add zero padding (0=false; 1=true)
%
% Output:
%	- signal_win:  signal of interest on which a rectangular window was applied
%
% Author: Guillaume Gibert, guillaume.gibert@ecam.fr
% Date: 04/03/2024
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
signal_duration = length(signal)/sampling_freq;
% create the  temporal array
t=-signal_duration/2:1/sampling_freq:(signal_duration/2)-1/sampling_freq;
% window duration is half of signal duration
windowDuration = signal_duration/2;

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% creates the Rectangular time window
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

rectangularWin = zeros(1, length(t));

for l_sample=1:windowDuration*sampling_freq
	rectangularWin(l_sample + signal_duration*sampling_freq/4) = 1;
end

figure;
title("Rectangular Window"); hold on;
plot(t,rectangularWin);

% apply the rectangular window
for l_sample=1:length(t)
	signal_win(l_sample) = signal(l_sample) * rectangularWin(l_sample);
end

figure;
title("Original and Windowed signals"); hold on;
plot(t, signal); hold on;
plot(t, signal_win);

frequencySpectrum(signal_win, sampling_freq/2,pad);