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Kalman filter

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

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This article is licensed under the GNU Free Documentation License. It uses material from the Wikipedia article "Kalman filter".