Group-wise mean in multi-dimensional array (part II)
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I have a 256*256*515 double array. It represents 515 images by the dimension of 256*256. Along the 515 axis, every 5 images belong to the same group. I would like to take the element-wise block mean every 5 elements such that my cell array may be condensed into 256*256*103. How may I do that?
I had success applying reshape function to 2D arrays, but am not quite sure how to proceed in this case.
Thank you very much!
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the cyclist
le 14 Oct 2015
This works, right?
M = rand(256,256,515); % Use your actual data here
M_r = reshape(M,256,256,103,5);
M_r_mean = mean(M_r,4);
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dpb
le 14 Oct 2015
Ah-so, cycler! Wasn't thinking of using another dimension earlier. That's very good; will have to remember that going forward.
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