kalman filtering
Kalman filtering is a mathematical technique used to estimate the state of a dynamic system based on noisy measurements. It combines measurements and predictions from previous states to generate an optimal estimate of the current state, minimizing the impact of noise and improving the accuracy of the estimation.
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