gaussianNoiseOut: Compute the output of the GAUSSIAN noise given the input mean...

Description Usage Arguments Value See Also Examples

Description

computes the ouptut for the Gaussian noise given input mean and variances.

Usage

1
gaussianNoiseOut(noise, mu, varSigma)

Arguments

noise

the noise structure for which the output is computed.

mu

the input mean values.

varSigma

the input variance values.

Value

y

the output from the noise model.

See Also

gaussianNoiseParamInit, noiseOut, noiseCreate.

Examples

1
## missing

Example output

Loading required package: Matrix
Loading required package: fields
Loading required package: spam
Loading required package: dotCall64
Loading required package: grid
Spam version 2.1-1 (2017-07-02) is loaded.
Type 'help( Spam)' or 'demo( spam)' for a short introduction 
and overview of this package.
Help for individual functions is also obtained by adding the
suffix '.spam' to the function name, e.g. 'help( chol.spam)'.

Attaching package: 'spam'

The following objects are masked from 'package:base':

    backsolve, forwardsolve

Loading required package: maps

gptk documentation built on May 2, 2019, 3:27 p.m.

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