A Complex Adaptive Notch Filter Based on the Steiglitz-mcbride Method
نویسندگان
چکیده
This paper propose a new complex adaptive notch Þlter (ANF) structure based on the Steiglitz-McBride (SM) method. Recursive least square (RLS) algorithm is applied to the proposed ANF with optimized stepsize. Simulations show that RLS-SM ANF converges fast and requires less computational complexity than the conventional ANF using recursive prediction error (RPE) algorithm.
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تاریخ انتشار 2001