| discreteDiscreteKalmanFilterSquareRoot(int initialTime, VECTOR initialEstimate, MATRIX initialCovariance, filterModel< VECTOR, MATRIX, int > *model) (defined in discreteDiscreteKalmanFilterSquareRoot< VECTOR, MATRIX >) | discreteDiscreteKalmanFilterSquareRoot< VECTOR, MATRIX > | inline |
| getCurrentEstimate() (defined in KalmanFilter< VECTOR, MATRIX, int >) | KalmanFilter< VECTOR, MATRIX, int > | inline |
| getCurrentTime() (defined in KalmanFilter< VECTOR, MATRIX, int >) | KalmanFilter< VECTOR, MATRIX, int > | inline |
| getMeasurementJacobian(VECTOR v, int t) (defined in KalmanFilter< VECTOR, MATRIX, int >) | KalmanFilter< VECTOR, MATRIX, int > | inlineprotected |
| getProcessNoiseCovariance(VECTOR v, int t) (defined in KalmanFilter< VECTOR, MATRIX, int >) | KalmanFilter< VECTOR, MATRIX, int > | inlineprotected |
| getProcessNoiseCovarianceSqrt(VECTOR v, int t) (defined in KalmanFilter< VECTOR, MATRIX, int >) | KalmanFilter< VECTOR, MATRIX, int > | inlineprotected |
| getSensorCount() (defined in KalmanFilter< VECTOR, MATRIX, int >) | KalmanFilter< VECTOR, MATRIX, int > | inlineprotected |
| getSensorNoiseCovariance(VECTOR v, int t) (defined in KalmanFilter< VECTOR, MATRIX, int >) | KalmanFilter< VECTOR, MATRIX, int > | inlineprotected |
| getSensorNoiseCovarianceSqrt(VECTOR v, int t) (defined in KalmanFilter< VECTOR, MATRIX, int >) | KalmanFilter< VECTOR, MATRIX, int > | inlineprotected |
| getStateCount() (defined in KalmanFilter< VECTOR, MATRIX, int >) | KalmanFilter< VECTOR, MATRIX, int > | inlineprotected |
| getTransitionJacobian(VECTOR v, int t) (defined in KalmanFilter< VECTOR, MATRIX, int >) | KalmanFilter< VECTOR, MATRIX, int > | inlineprotected |
| KalmanFilter(int initialTime, VECTOR initialEstimate, MATRIX initialCovariance, filterModel< VECTOR, MATRIX, int > *model) (defined in KalmanFilter< VECTOR, MATRIX, int >) | KalmanFilter< VECTOR, MATRIX, int > | inline |
| measure(VECTOR t, int time) (defined in KalmanFilter< VECTOR, MATRIX, int >) | KalmanFilter< VECTOR, MATRIX, int > | inlineprotected |
| predict(int timeUnitsForward) (defined in discreteDiscreteKalmanFilterSquareRoot< VECTOR, MATRIX >) | discreteDiscreteKalmanFilterSquareRoot< VECTOR, MATRIX > | inlinevirtual |
| setCurrentCovariance(MATRIX t) (defined in KalmanFilter< VECTOR, MATRIX, int >) | KalmanFilter< VECTOR, MATRIX, int > | inlineprotected |
| setCurrentEstimate(VECTOR t) (defined in KalmanFilter< VECTOR, MATRIX, int >) | KalmanFilter< VECTOR, MATRIX, int > | inlineprotected |
| setCurrentTime(int t) (defined in KalmanFilter< VECTOR, MATRIX, int >) | KalmanFilter< VECTOR, MATRIX, int > | inlineprotected |
| transition(VECTOR t, int time) (defined in KalmanFilter< VECTOR, MATRIX, int >) | KalmanFilter< VECTOR, MATRIX, int > | inlineprotected |
| update(VECTOR measurement) (defined in discreteDiscreteKalmanFilterSquareRoot< VECTOR, MATRIX >) | discreteDiscreteKalmanFilterSquareRoot< VECTOR, MATRIX > | inlinevirtual |
