| 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 |