function applyMovingAverage(freq_sampling, duration_signal, signal_constant, nbSamples, randomRange, plt)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% function applyMovingAverage(freq_sampling, duration_signal, signal_constant, nbSamples, randomRange, plt)
% ex.:applyMovingAverage(500, 10, 100, 10, 1);
%
% Task: To generate a digital constant signal with noise and apply moving
% average filter
%
% Inputs:
%	-freq_signal: frequency of the signal (in Hz)
%   -signal_contant:constant value of our signal(a.u.)
%	-duration_signal: duration of the signal (in s)
%   -signal_noise_range: range of noise in our signal(a.u.)
%   -nbSamples: 
%	-plt: if greater than 0, signal will be plotted
%
% Outputs:None
%
% Author: Lymeng LY, lymeng.ly@ecam.fr
% Date: 07/04/2025
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

%generates time vector
t=0:1/freq_sampling:duration_signal;

%generate the signal samples
for l_sample=1:length(t)
    signal(l_sample) = signal_constant + (rand()*(randomRange(2)-randomRange(1))+randomRange(1));
end 

%apply the moving average filter
signal_filtered = movingAverage(t, signal,nbSamples, plt);