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

Volume

40

Issue

8

fYear

1993

fDate

8/1/1993 12:00:00 AM

Firstpage

525

Lastpage

528

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;

fLanguage

English

Journal_Title

Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1057-7130

Type

jour

DOI

10.1109/82.242343

Filename

242343