Name | Description |
---|---|
kfStepMatrices | One step, i.e. prediction and update of a kalman filter iteration for discrete systems |
symMatMul | Calculate the upper triangle of A*B*A'+a*C with B and C symmetric |
kfStepState | One step, i.e.estimation of the state vector using a kalman filter iteration for discrete systems |
kfStepMatrices2 | One step, i.e. prediction and update of a kalman filter iteration for discrete systems |
ekfSystemBase | Base class of ekf-system functions |
ekfSystemDummy | Dummy function for ekfSystem |
ekfSystemBase2 | Base class of ekf-system functions |
ukfPredict | Prediction step in ukf |
predictBase | Base class of prediction-function |
ukfUpdate | Update step in ukf |
updateBase | Bass class of update-function |
ukfEstimate | Calculate filter gain and the updated mean of the state and covariance P |
estimateBase | Base class of estimation function |
ukfPredict_sr | Prediction step in square root ukf |
ukfUpdate_sr | Update step in square root ukf |
ukfEstimate_sr | Calculate filter gain and the updated mean of the state and Cholesky factor S of covariance P of a UKF |
predictBase_sr | Base class of prediction function |
updateBase_sr | Bass class of update_sr-function |
estimateBase_sr | Base class of estimation function |