The
Kalman filter (named after its inventor,
Rudolf E Kalman[?]) is an efficient recursive computational solution of the
least-squares method[?], which is applicable to distinguishing signals from noise so as to predict changes in a modeled system with time.
Kalman filtering is used extensive in control systems[?] engineering.
Compare with: Wiener filter[?]