You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@commons.apache.org by "Thomas Neidhart (JIRA)" <ji...@apache.org> on 2013/10/11 23:39:42 UTC
[jira] [Resolved] (MATH-1033) Kalman filter does not work if
covarance matrix is not of dimension 1
[ https://issues.apache.org/jira/browse/MATH-1033?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Thomas Neidhart resolved MATH-1033.
-----------------------------------
Resolution: Fixed
Fix Version/s: 3.3
Fixed in r1531430.
Thanks for the report.
> Kalman filter does not work if covarance matrix is not of dimension 1
> ---------------------------------------------------------------------
>
> Key: MATH-1033
> URL: https://issues.apache.org/jira/browse/MATH-1033
> Project: Commons Math
> Issue Type: Bug
> Affects Versions: 3.2
> Reporter: Yuan Qu
> Fix For: 3.3
>
>
> In org.apache.commons.math3.filter.KalmanFilter,
> The check below doesn't look right, it reques measNoise's column dimension to be 1 at all time.
>
> // row dimension of R must be equal to row dimension of H
> if (measNoise.getRowDimension() != measurementMatrix.getRowDimension() ||
> measNoise.getColumnDimension() != 1) {
> throw new MatrixDimensionMismatchException(measNoise.getRowDimension(),
> measNoise.getColumnDimension(),
> measurementMatrix.getRowDimension(), 1);
> }
--
This message was sent by Atlassian JIRA
(v6.1#6144)