diff --git a/normalization.m b/normalization.m
deleted file mode 100644
index e8e4be1..0000000
--- a/normalization.m
+++ /dev/null
@@ -1,44 +0,0 @@
-%%%%%%%%%%%%%%%%%%%%%
-% Task: Creating FFT of average R,G,B over a period of 30 seconds
-%
-% Input: 
-%	- CSV file containing the RGB data for each pixels of the region of interest
-%
-% Output:
-%	- Fast Fourier Transform of the colors over time
-%
-% author: Delattre Loïc, Dey Maryne (loic.delattre@ecam.fr, maryne.dey@ecam.fr)
-% date: 06/02/2023
-%%%%%%%%%%%%%%%%%%%%%
-
-pkg load io %% to be able to extract from external format (excel)
-
-data = csvread('RGB_database/RGB_data.csv');
-standard_deviation = std(data);
-mean_value = mean(data);
-
-for i = 1:size(data,1)
-  normalized_data_G(i,1) = (data(i,2)-mean_value(2))/standard_deviation(2); %%2 and not 1 because green is the 2nd color
-endfor
-
-normalized_data_G
-
-fft_green = fft(normalized_data_G);
-
-frequency = [];
-
-for i = 1:length(fft_green)
-  frequency(i) = (i-1)*30/length(fft_green);
-endfor
-
-plot(frequency,fft_green)
-
-
-%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
-%%For all the colors
-%%for j = 1:3
-%%  for i = 1:size(data,1)
-%%    normalized_data(i,j) = (data(i,j)-mean_value(j))/standard_deviation(j);
-%%  endfor
-%%endfor
-%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\ No newline at end of file