creating smaller matrix from a large matrix
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I want to create a 16*16 square matrix from 4*4 square matric based on a condition that 4*4 (i.e. 256) elements add together to form a new element for smaller matrix. Example is shown below.

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You mean
rng("default")
A = rand(16);
for i = 1:4
for j = 1:4
B = A((i-1)*4+1:i*4,(j-1)*4+1:j*4);
A_compressed(i,j) = sum(B(:));
end
end
A_compressed
?
Here are two more options. Neither are very readable but I knew there was a grouping solution and a vectorized solution and I was in the mood for a challenge.
Grouping solution
The variable group is a matrix the same size as A that groups the values of A into 4x4 sub-matrixes.
rng("default")
A = randi(10,16);
group = repelem(reshape(1:16,4,4)',4,4);
sumVec = groupsummary(A(:),group(:),'sum'); % alternative: =splitapply(@sum,A(:),group(:));
m = reshape(sumVec,4,4)'
Vectorized solution
This reshapes matrix A into a 4-dimensional array and then permutes the array so that sum can be applied acros the first two dimensions. Then the results are reshaped back into a matrix.
m = reshape(sum(permute(reshape(A',4,4,4,4),[1 3 2 4]),[1,2]),4,4)'
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