normalize matrix by standard deviation

I am preparing a data matrix of a data series of images to perform an EOF. It's a MxN matrix where M are the pixel values (rows) and N are the images. Is it possible to normalize the entire matrix by the standard deviation? If so, how can do this? Or do I have to normalize each image (column)?

 采纳的回答

If A is your MxN matrix and is of type 'double', do this:
A = bsxfun(@rdivide,A,std(A));
(This assumes you want unbiased standard deviation.)

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