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Outputs the likelihood of the input data assuming it has been generated by a Gaussian process with given mean and variance.

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.

The input data may be samples or frames. If frame data is input then the likelihood is calculated separately for each element of the input frame to construct an output frame of matching dimensionality and size.

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 likelihood of input data

Parameters Type Default Meaning
MEAN Float - mean of the distribution
VARIANCE Float - variance of the distribution

Documentation for CTKv1.1.4 - Last modified: Thu Jun 28 14:43:59 BST 2001