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The linked article is about the Kalman Filter, a generic algorithm used to estimate observable and unobservable parameters with great accuracy in real-time. The article explains how the filter works and provides step-by-step examples of how it can estimate the position and velocity of an object based on noisy measurements. The article also includes tables and equations to help readers understand the algorithm.