public class DefaultMeasurementModel extends Object implements MeasurementModel
MeasurementModel for the use with a KalmanFilter.| Constructor and Description | 
|---|
| DefaultMeasurementModel(double[][] measMatrix,
                       double[][] measNoise)Create a new  MeasurementModel, taking double arrays as input parameters for the
 respective measurement matrix and noise. | 
| DefaultMeasurementModel(RealMatrix measMatrix,
                       RealMatrix measNoise)Create a new  MeasurementModel, takingRealMatrixobjects
 as input parameters for the respective measurement matrix and noise. | 
| Modifier and Type | Method and Description | 
|---|---|
| RealMatrix | getMeasurementMatrix()Returns the measurement matrix. | 
| RealMatrix | getMeasurementNoise()Returns the measurement noise matrix. | 
public DefaultMeasurementModel(double[][] measMatrix,
                       double[][] measNoise)
                        throws NullArgumentException,
                               NoDataException,
                               DimensionMismatchException
MeasurementModel, taking double arrays as input parameters for the
 respective measurement matrix and noise.measMatrix - the measurement matrixmeasNoise - the measurement noise matrixNullArgumentException - if any of the input matrices is nullNoDataException - if any row / column dimension of the input matrices is zeroDimensionMismatchException - if any of the input matrices is non-rectangularpublic DefaultMeasurementModel(RealMatrix measMatrix, RealMatrix measNoise)
MeasurementModel, taking RealMatrix objects
 as input parameters for the respective measurement matrix and noise.measMatrix - the measurement matrixmeasNoise - the measurement noise matrixpublic RealMatrix getMeasurementMatrix()
getMeasurementMatrix in interface MeasurementModelpublic RealMatrix getMeasurementNoise()
KalmanFilter every
 correction step, so implementations of this interface may return a modified measurement noise
 depending on the current iteration step.getMeasurementNoise in interface MeasurementModelKalmanFilter.correct(double[]), 
KalmanFilter.correct(org.apache.commons.math3.linear.RealVector)Copyright © 2003–2016 The Apache Software Foundation. All rights reserved.