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)?

Answer 1

[Roger Stafford]

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.)