Abstract
In the above-named work, the two-dimensional (2-D) reduced update Kalman filter was introduced as an optimal approximation to the 2-D Kalman filter for scalar observations obtained from a raster scan. The reduced update filter consists of two parts: a prediction part and a reduced update part, i.e., an update of
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