Generally speaking, the closed loop adaptive process involves the use of a cost function, which is a criterion for optimum performance of the filter, to feed an algorithm, which determines how to modify filter transfer function to minimize the cost on the next iteration. The most common cost function is the mean square of the error signal.
Generally speaking, the closed loop adaptive process in?volves the use of a cost function, which is a criterion fo:r optimum performance of the filter, to feed an algorithm, which determines how to modify filt:er transfer function to minimize the cost on the next iteration. The most common cost function is the mean square of the error signal.