Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.
I'm still relatively new to Kalman filters, but is there an easy way to estimate model parameters using this package? (E.g., an implementation of the EM algorithm)?
I'm still relatively new to Kalman filters, but is there an easy way to estimate model parameters using this package? (E.g., an implementation of the EM algorithm)?
Thanks!