matrix normalization in matlab
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hi.. i want normalize a matrix (129 x 128)..please help me with matlab codes
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Accepted Answer
Thorsten
on 30 Jan 2013
To normalize a matrix such that all values fall in the range [0, 1] use
Anorm = (A - min2(A))/(max2(A) - min2(A));
3 Comments
DGM
on 11 Dec 2022
Edited: DGM
on 11 Dec 2022
There ./ is not needed here, since the denominator is a scalar.
That said, there is no function called min2() or max2(), nor can I find evidence that there were functions by those names which have since been removed. Maybe they used to be part of one of the toolboxes.
Alternatively, you could do:
Anorm = (A - min(A(:)))/(max(A(:)) - min(A(:)));
or you could do
Anorm = (A - min(A,[],'all'))/(max(A,[],'all') - min(A,[],'all'));
though the latter option wouldn't have worked circa 2013
More Answers (3)
Matt J
on 30 Jan 2013
You need to decide how you want to define the amplitude of the matrix first. Maybe you want this
normalized = A/norm(A);
or maybe this
normalized = A/max(abs(A(:)))
3 Comments
Jan
on 30 Jan 2013
Please, jenifer, we have asked you to define "normalization" exactly. It wastes time if we guess what you mean.
Jing
on 30 Jan 2013
You can use 'normc' or 'normr' for normalization. 'c' or 'r' stands for columns or rows that you want to normalize.
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DGM
on 11 Dec 2022
A = 1:6
B1 = normalize(A,'range') % default range is [0 1]
B2 = normalize(A,'range',[-1 2]) % but you can specify any range
B3 = normalize(A,'zscore','std') % zero-center and scale to have std=1
B4 = normalize(A,'norm',2) % normalize by vector p-norm (default p=2)
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