Adding the documentation
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%%%%%%%%%%%%%%%%%%%%%
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% Task: Creating FFT of average R,G,B over a period of 30 seconds
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%
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% Input:
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% - CSV file containing the RGB data for each pixels of the region of interest
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%
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% Output:
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% - Fast Fourier Transform of the colors over time
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%
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% author: Delattre Loïc, Dey Maryne (loic.delattre@ecam.fr, maryne.dey@ecam.fr)
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% date: 06/02/2023
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%%%%%%%%%%%%%%%%%%%%%
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pkg load io %% to be able to extract from external format (excel)
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data = csvread('RGB_data_monfront.xlsx')
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standard_deviation = std(data)
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mean_value = mean(data)
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for i = 1:size(data,1)
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normalized_data_G(i,1) = (data(i,2)-mean_value(2))/standard_deviation(2); %%2 and not 1 because green is the 2nd color
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endfor
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fft_green = fft(normalized_data_G)
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plot([1:size(fft_green,1)],fft_green)
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%%For all the colors
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%%for j = 1:3
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@ -11,12 +35,4 @@ mean_value = mean(data)
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%% normalized_data(i,j) = (data(i,j)-mean_value(j))/standard_deviation(j);
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%% endfor
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%%endfor
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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for i = 1:size(data,1)
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normalized_data_G(i,1) = (data(i,2)-mean_value(2))/standard_deviation(2); %%2 and not 1 because green is the 2nd color
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endfor
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fft_green = fft(normalized_data_G)
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plot([1:size(fft_green,1)],fft_green)
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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