LINEAR FILTRATION OF RANDOM SEQUENCES USING A LEAST SQUARE METHOD WITH REGULARIZATION
At high problem dimension the Kalman filter becomes difficult to realize in real time due to the high computational costs.Alternatively, a technique Horse Muzzles of filter synthesis on the basis of the extended least square method with extended square discrepancy is given.The technique allows to reduce the computation costs for Soccer - Clothing