48 lines
1.5 KiB
Matlab
48 lines
1.5 KiB
Matlab
function signal_win = hanningWin(signal, signal_duration, sampling_freq, pad)
|
|
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
|
%function signal_win = hanningWin(signal, signal_duration, sampling_freq, pad)
|
|
% ex.: signal_win = hanningWin(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 hanning window was applied
|
|
%
|
|
% Author: Guillaume Gibert, guillaume.gibert@ecam.fr
|
|
% Date: 04/03/2024
|
|
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
|
|
|
% 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 Hanning time window
|
|
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
|
|
|
hanningWin = zeros(1, length(t));
|
|
|
|
for l_sample=1:windowDuration*sampling_freq
|
|
hanningWin(l_sample+signal_duration*sampling_freq/4) = (0.5 - 0.5*cos(2*pi*(l_sample)/(signal_duration*sampling_freq/2)));
|
|
end
|
|
|
|
figure;
|
|
title("Hanning Window"); hold on;
|
|
plot(t,hanningWin);
|
|
|
|
% apply the window on input signal
|
|
for l_sample=1:length(t)
|
|
signal_win(l_sample) = signal(l_sample) * hanningWin(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); |