A complementary pair LMS algorithm for adaptive filtering
نویسندگان
چکیده
This paper presents a new algorithm that can solve the problem of selecting appropriate update step size in the LMS algorithm. The proposed algorithm, called a Complementary Pair LMS (CP-LMS) algorithm, consists of two adaptive lters with di erent update step sizes operating in parallel, one lter re-initializing the other with the better coe cient estimates whenever possible. This new algorithm provides the faster convergence speed and the smaller steady-state error than those of a single lter with a xed or variable step size.
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