Divide and expand matrix
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I have a 600x600 matrix with integer values in each cell. What I want to do is expand that matrix into a 6,000x6,000 matrix. However, since it is being expanded to 10x its size, I need to scale the integer in each cell accordingly. So if I have the value 10 in row 1 column 1 of the 600x600 matrix, I now need the value 1 in rows 1-10 columns1-10. Does anyone have any ideas how to do this?
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Geoff Hayes
2017-7-7
Andrew - what happens if the value in row 1 column 1 (or any other position) is not divisible by ten? (Since you are saying that the value 10 at (1,1) must be 1 in (1:10,1:10).)
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dpb
2017-7-7
编辑:dpb
2017-7-8
Something like this you mean:
>> x=reshape(1:9,3,3) % starting sample input array
x =
1 4 7
2 5 8
3 6 9
>> N=2; % choose a multiplier size factor
>> xnew=cell2mat(arrayfun(@(x) repmat(x,N,N),x,'uniform',0))
xnew =
1 1 4 4 7 7
1 1 4 4 7 7
2 2 5 5 8 8
2 2 5 5 8 8
3 3 6 6 9 9
3 3 6 6 9 9
>>
ADDENDUM To divide down is as you surmise, just use N as divisor in the anonymous function--for the same x
>> cell2mat(arrayfun(@(x) repmat(x,N,N)/N,x,'uniform',0))
ans =
0.5000 0.5000 2.0000 2.0000 3.5000 3.5000
0.5000 0.5000 2.0000 2.0000 3.5000 3.5000
1.0000 1.0000 2.5000 2.5000 4.0000 4.0000
1.0000 1.0000 2.5000 2.5000 4.0000 4.0000
1.5000 1.5000 3.0000 3.0000 4.5000 4.5000
1.5000 1.5000 3.0000 3.0000 4.5000 4.5000
>>
ADDENDUM 2: Of course, if N is constant as above, it can come outside the anonymous function--
cell2mat(arrayfun(@(x) repmat(x,N,N),x,'uniform',0))/N
If it were a positional transform, the anonymous function could have a second argument of size(x) if need be or the dot division operator or automagic singleton expansion in later versions could come into play depending on just what a particular transformation looked like.
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Geoff Hayes
2017-7-7
Andrew - what have you tried so far? Suppose mtx1 is your 600x600 matrix and mtx2 is your 6000x6000 matrix. The mapping of your elements from mtx1 to mtx2 is as follows
mtx1(1,1) --> mtx2(1:10,1:10)
mtx1(1,2) --> mtx2(1:10, 11:20)
mtx1(1,3) --> mtx2(1:10,21:30)
...
mtx1(2,1) --> mtx2(11:20,1:10)
...
mtx1(3,1) -->mtx2(21:30,1:10)
So one way to do this, is to iterate over each row and column of mtx1 and then map it to the correct "block" of mtx2 probably something like
mtx2((r-1)*10+1:r*10,(c-1)*10+1:c*10) = mtx1(u,v)/10;
where r and c are the indices to the current row and column respectively.
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