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 of filter synthesis on the basis of the extended least square method camo iphone se case with extended square discrepancy is given.The technique allows to reduce the computation costs for the search of