Method ssm/generateCovariance
GENERATECOVARIANCE generates a default covarance matrix.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
DESCRIPTION: GENERATECOVARIANCE generates a default covarance matrix that
can be used with ssm/simulate. The method looks for input
ports named 'DIST_*' and (optionally) '*_DC'.
CALL: out = generateCovariance(model, pl)
INPUTS:
model - the SSM model to compute the covariance matrix for
OUTPUTS:
out - a plist with two keys:
'cov' - the covarance matrix
'names' - a cell-array of the input port names
Parameter Sets
VERSION: $Id$
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
| Method Details |
|
| Access |
public |
| Defining Class |
ssm |
| Sealed |
0 |
| Static |
0 |
Parameter Description
| Sets for this method … |
| Default |
Default |
| no description |
| Key |
Default Value |
Options |
Description |
| DC |
0 |
|
Include DC disturbances. |
back to top
| Some information of the method ssm/generateCovariance are listed below: |
| Class name |
ssm |
| Method name |
generateCovariance |
| Category |
Signal Processing |
| CVS Version |
a9ca9ab5872cf46b22889bfc4c6ef97de5dc6d45 |
| Min input args |
1 |
| Max input args |
-1 |
| Min output args |
1 |
| Max output args |
-1 |
|
Method: ssm/findDiffStep |
|
Method: ssm/lpfNoiseProjection |
 |
©LTP Team