42 lines
1.1 KiB
Matlab
42 lines
1.1 KiB
Matlab
function signal_win = blackmanWin(signal, signal_duration, sampling_freq, pad)
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%function signal_win = blackmanWin(signal)
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%
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% Inputs:
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% - signal: signal of interest
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%
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% Output:
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% - signal_win: signal of interest on which a blackman window was applied
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%
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% Author: Guillaume Gibert, guillaume.gibert@ecam.fr
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% Date: 15/03/2024
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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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blackmanWin = zeros(1, length(t));
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for l_sample=1:length(signal)
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blackmanWin(l_sample) = (0.42 - 0.5 * cos(2*pi*(l_sample)/length(signal)) + 0/08*cos(4*pi*(l_sample)/length(signal)));
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end
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% plot Blackman window
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figure;
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title("Blackman Window"); hold on;
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plot(t, blackmanWin);
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% apply the Blackman window
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for l_sample=1:length(signal)
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signal_win(l_sample) = signal(l_sample) * blackmanWin(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(signal); hold on;
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plot(signal_win);
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frequencySpectrum(signal_win, sampling_freq/2,pad); |