matrix normalization in matlab
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jenifer
el 30 de En. de 2013
hi.. i want normalize a matrix (129 x 128)..please help me with matlab codes
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Thorsten
el 30 de En. de 2013
To normalize a matrix such that all values fall in the range [0, 1] use
Anorm = (A - min2(A))/(max2(A) - min2(A));
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DGM
el 11 de Dic. de 2022
Editada: DGM
el 11 de Dic. de 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
Más respuestas (3)
Matt J
el 30 de En. de 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 comentarios
Jan
el 30 de En. de 2013
Please, jenifer, we have asked you to define "normalization" exactly. It wastes time if we guess what you mean.
Jing
el 30 de En. de 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
el 11 de Dic. de 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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