Kalman filtering
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Explore more → What is Kalman filtering?
Kalman filtering is an algorithm that uses a series of measurements observed over time, containing statistical noise and other inaccuracies, and produces estimates of unknown variables that tend to be more accurate than those based on a single measurement alone. It is widely used in control systems, navigation, and signal processing to estimate the state of a dynamic system from a series of noisy measurements.
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