matrix normalization in matlab

hi.. i want normalize a matrix (129 x 128)..please help me with matlab codes

 采纳的回答

To normalize a matrix such that all values fall in the range [0, 1] use
Anorm = (A - min2(A))/(max2(A) - min2(A));

3 个评论

*how can i normalize the dwt2 coefficients *
You missed a dot before the division operation for a 2d matrix
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

请先登录,再进行评论。

更多回答(3 个)

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 个评论

Or perhaps "normalization" means a range of [0,1]?
ya... but how can i get a single value from whole matrix...
Please, jenifer, we have asked you to define "normalization" exactly. It wastes time if we guess what you mean.

请先登录,再进行评论。

Jing
Jing 2013-1-30

1 个投票

You can use 'normc' or 'normr' for normalization. 'c' or 'r' stands for columns or rows that you want to normalize.
Since R2018a, you can use normalize() to perform normalization in various different ways.
A = 1:6
A = 1×6
1 2 3 4 5 6
B1 = normalize(A,'range') % default range is [0 1]
B1 = 1×6
0 0.2000 0.4000 0.6000 0.8000 1.0000
B2 = normalize(A,'range',[-1 2]) % but you can specify any range
B2 = 1×6
-1.0000 -0.4000 0.2000 0.8000 1.4000 2.0000
B3 = normalize(A,'zscore','std') % zero-center and scale to have std=1
B3 = 1×6
-1.3363 -0.8018 -0.2673 0.2673 0.8018 1.3363
B4 = normalize(A,'norm',2) % normalize by vector p-norm (default p=2)
B4 = 1×6
0.1048 0.2097 0.3145 0.4193 0.5241 0.6290

2 个评论

The normalize function in matlab either works on columns or rows. We want a function that normalizes the matrix as a whole. We are not looking for normalizing features or observations. So the calculation must be made on global minimum and global maximum of the matrix. Thats why we flatten the matrix into one vector before doing any calculation.
As others have mentioned, "normalize" is a terribly vague word. If the goal is to rescale the entire array with respect to global statistics, then yes, reshaping the array is one way to do so.

请先登录,再进行评论。

类别

帮助中心File Exchange 中查找有关 Creating and Concatenating Matrices 的更多信息

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by