User`s guide

Normalization
5-330
The output has the same dimension and frame status as the input. For
convenience, length-M 1-D vector inputs and sample-based length-M row
vector inputs are both treated as M-by-1 column vectors, and the output retains
the dimensions of the input.
Dialog Box
Norm
The type of normalization to apply, 2-norm or Squared 2-norm. Tunable.
Normalization bias
The value b to be added in the denominator to avoid division by zero.
Tunable.
Supported
Data Types
See Also
Double-precision floating point
Matrix Scaling DSP Blockset
Reciprocal Condition DSP Blockset
norm
MATLAB