48 lines
1.5 KiB
Matlab
48 lines
1.5 KiB
Matlab
function signal_win = hammingWin(signal, signal_duration, sampling_freq, pad)
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%function signal_win = hammingWin(signal, signal_duration, sampling_freq, pad)
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% ex.: signal_win = hammingWin(signal, 2, 300, 1)
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%
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% Inputs:
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% - signal: location of the signal to window
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% - signal_duration: duration of the signal in seconds
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% - sampling_freq: sampling frequency in Hz
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% - pad: wether or not add zero padding (0 false; 1 true)
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%
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% Output:
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% - signal_win: signal of interest on which a hamming window was applied
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%
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% Author: Guillaume Gibert, guillaume.gibert@ecam.fr
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% Date: 04/03/2024
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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% create the temporal array
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t=-signal_duration/2:1/sampling_freq:(signal_duration/2)-1/sampling_freq;
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% window duration is half of signal duration
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windowDuration = signal_duration/2;
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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% creates the Hamming time window
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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hammingWin = zeros(1, length(t));
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for l_sample=1:windowDuration*sampling_freq
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hammingWin(l_sample+signal_duration*sampling_freq/4) = (0.54 - 0.46*cos(2*pi*(l_sample)/(signal_duration*sampling_freq/2)));
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end
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figure;
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title("Hamming Window"); hold on;
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plot(t,hammingWin);
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% apply the window on input signal
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for l_sample=1:length(t)
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signal_win(l_sample) = signal(l_sample) * hammingWin(l_sample);
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end
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figure;
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title("Original and Windowed signals"); hold on;
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plot(t, signal); hold on;
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plot(t, signal_win);
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frequencySpectrum(signal_win, sampling_freq/2,pad); |