ADAPTIVE IIR NOTCH FILTER BASED ON LEAST MEAN P-POWER ERROR CRITERION

In this paper, a new second-order IIR adaptive notch filter (ANF) algo rithm based on least mean p-power (LMP) error criterion is investigate d. When the ANF is used to cancel 60-Hz interference in the recording of electrocardiograms (ECG), the performance of this adaptive algorith m with p=1 is better than that of conventional least mean square (LMS, p=2) algorithm. Furthermore, when the ANF is applied to estimate the frequency of sinusoid embedded in white noise, this algorithm with p=3 has better statistical accuracy than the LMS algorithm. Simulation re sults are presented to demonstrate the effectiveness of the proposed A NF algorithm.