The Kalman Filter: Estimation with Applications

The Kalman filter is a recursive algorithm that estimates the state of a dynamic system from a series of incomplete and noisy measurements. It's widely used in various fields, including navigation, control systems, and signal processing, to provide optimal estimates of unknown variables based on available data and system dynamics. The filter predicts the next state and updates its estimate based on new measurements, minimizing the error between the predicted and actual values.