Inheritance diagram for discreteDiscreteKalmanFilter< VECTOR, MATRIX >:

Collaboration diagram for discreteDiscreteKalmanFilter< VECTOR, MATRIX >:

Public Member Functions
	discreteDiscreteKalmanFilter (int initialTime, VECTOR initialEstimate, MATRIX initialCovariance, filterModel< VECTOR, MATRIX, int > *model)

void	predict (int timeUnitsForward)

void	update (VECTOR measurement)

Public Member Functions inherited from KalmanFilter< VECTOR, MATRIX, int >
MATRIX	getCurrentCovariance ()

VECTOR	getCurrentEstimate ()

int	getCurrentTime ()

	KalmanFilter (int initialTime, VECTOR initialEstimate, MATRIX initialCovariance, filterModel< VECTOR, MATRIX, int > *model)

Additional Inherited Members
Protected Member Functions inherited from KalmanFilter< VECTOR, MATRIX, int >
int	getStateCount ()

int	getSensorCount ()

MATRIX	getTransitionJacobian (VECTOR v, int t)

MATRIX	getMeasurementJacobian (VECTOR v, int t)

VECTOR	transition (VECTOR t, int time)

VECTOR	measure (VECTOR t, int time)

void	setCurrentCovariance (MATRIX t)

void	setCurrentTime (int t)

void	setCurrentEstimate (VECTOR t)

MATRIX	getProcessNoiseCovariance (VECTOR v, int t)

MATRIX	getSensorNoiseCovariance (VECTOR v, int t)

MATRIX	getProcessNoiseCovarianceSqrt (VECTOR v, int t)

MATRIX	getSensorNoiseCovarianceSqrt (VECTOR v, int t)

The documentation for this class was generated from the following file:

Public Member Functions

Additional Inherited Members