Introduction - If you have any usage issues, please Google them yourself
Kalman filtering is a special case of Bayesian filtering, which takes the minimum mean square error as the best criterion on the premise of linear filtering. Estimating linear Gauss model is an optimization method for linear model and Gauss distribution.