Normalize Matrix (Not in Base Package)

Normalizes the 2D input Matrix using its statistical profile (µ, s), where µ is the mean and s is the standard deviation, to obtain a Normalized Matrix whose statistical profile is (0,1). Details  

	Matrix is the 2D input matrix. If Matrix is an empty array, Normalized Matrix is also an empty array, and mean and standard deviation are NaN.
	Normalized Matrix is the output normalized matrix.
	standard deviation is the standard deviation of Matrix.
	mean is the mean of Matrix.
	error returns any error or warning from the VI. You can wire error to the Error Cluster From Error Code VI to convert the error code or warning into an error cluster.

Normalize Matrix Details

The VI calculates Normalized Matrix using the following equation.

where B represents the 2D output sequence Normalized Matrix, A represents the 2D input sequence Matrix with n rows and m columns, and a_ij is the element of A on the i^th row and j^th column.