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Extract first and last nonzero elemenents inside subarrays avoiding mat2cell

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Can somone please give me a hand?
I have a matrix A such as:
A = [0 0 1 2 0 5 0 0 6 0 3 0 ; 0 3 0 2 6 0 0 0 0 0 0 0];
I'd like to check where are the first and last nonzero values along my subarrays of 6 elements on each row. So the expected Output shoul be:
Out = [0 0 1 0 0 1 0 0 1 0 1 0 ; 0 1 0 0 1 0 0 0 0 0 0 0];
I know I can easilly use mat2cell to perform this but I'd like to avoid using this funciton.
Thank's for the help,
Santos

Akzeptierte Antwort

Bruno Luong
Bruno Luong am 22 Mär. 2021
Bearbeitet: Bruno Luong am 22 Mär. 2021
A = [0 0 1 2 0 5 0 0 6 0 3 0 ; 0 3 0 2 6 0 0 0 0 0 0 0];
b = reshape(A.',6,[]) ~= 0;
[m,n] = size(b);
[~,istart] = max(b,[],1);
[~,istop] = max(flip(b,1),[],1);
i = [istart; m+1-istop] + (0:n-1)*m;
B = zeros(size(b));
B(i) = b(i);
Out = reshape(B,flip(size(A))).'

Weitere Antworten (1)

DGM
DGM am 22 Mär. 2021
I arbitrarily chose to avoid loops and find() and ended up with this ugly thing. It works, but I wouldn't call it elegant. I added some dummy values to the test array to demonstrate that it handles cases where there are no matches
A = [0 0 1 2 0 5 0 0 6 0 3 0 ; 0 0 0 0 0 0 0 0 0 0 0 0; 0 3 0 2 6 0 0 0 0 0 0 0];
A=reshape(A',6,[])'
matches=[sum(cumprod(A == 0,2),2)+1; 6-sum(cumprod(A == 0,2,'reverse'),2)];
matches=[[1:6 1:6]; matches']';
matches=matches(matches(:,2)>0 & matches(:,2)<7,:);
B=zeros(size(A));
B(sub2ind(size(A),matches(:,1),matches(:,2)))=1;
B=reshape(B',12,[])'
this yields:
B =
0 0 1 0 0 1 0 0 1 0 1 0
0 0 0 0 0 0 0 0 0 0 0 0
0 1 0 0 1 0 0 0 0 0 0 0
Again, I added the extra row

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