RESPITE: The CASA Toolkit Page: Documentation: Block Library Index:Erf


Erf first normalises the input according to the parameters MEAN and VARIANCE using:

X = (in1 - MEAN) / VARIANCE
and then passes normalised input through the error function of the form:
out1 = 2/sqrt(pi) * integral from 0 to X of exp(-t^2) dt

MEAN and VARIANCE can either be specified as constants by setting the block's parameters, or as time varying signals fed to the block's optional inputs in2 and in3 for the MEAN and VARIANCE respectively.

Inputs Meaning Sample 1-D frame $\ge$2-D frame
in1 signal Yes Yes Yes
(in2) dynamic MEAN parameter Yes Yes Yes
(in3) dynamic VARIANCE parameter Yes Yes Yes

Outputs Meaning
out1 input after passing through error function

Parameters Type Default Meaning
MEAN Float - mean (for normalisation)
VARIANCE Float - variance (for normalisation)

Documentation for CTKv1.1.4 - Last modified: Thu Jun 28 11:27:06 BST 2001