Title :
Adaptive IIR notch filter based on least mean p-power error criterion
Author :
Pei, Soo-Chang ; Tseng, Chien-Cheng
Author_Institution :
Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan
fDate :
8/1/1993 12:00:00 AM
Abstract :
A new second-order IIR adaptive notch filter (ANF) algorithm based on least-mean-p-power (LMP) error criterion is investigated. When the ANF is used to cancel 60-Hz interference in the recording of electrocardiograms (ECG), the performance of this adaptive algorithm with p=1 is better than that of the 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 results are presented to demonstrate the effectiveness of the proposed ANF algorithm
Keywords :
adaptive filters; digital filters; filtering and prediction theory; notch filters; IIR adaptive notch filter; adaptive algorithm; least mean p-power error criterion; second-order; Adaptive filters; Circuit noise; Circuit synthesis; Digital filters; IIR filters; Interference cancellation; Limit-cycles; Signal processing; Signal processing algorithms; Very large scale integration;
Journal_Title :
Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on
