Adaptive IIR notch filter based on least mean p-power error criterion

• Published in: IEEE transactions on circuits and systems. 2, Analog and digital signal processing Vol. 40; no. 8; pp. 525 - 528
• Main Authors: Pei, S.-C., Tseng, C.-C.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.08.1993; Institute of Electrical and Electronics Engineers
• Subjects: Adaptive filters; Applied sciences; Circuit noise; Circuit synthesis; Detection, estimation, filtering, equalization, prediction; Digital filters; Exact sciences and technology; IIR filters; Information, signal and communications theory; Interference cancellation; Limit-cycles; Signal and communications theory; Signal processing; Signal processing algorithms; Signal, noise; Telecommunications and information theory; Very large scale integration; Adaptive filtering; Finite impulse response filter; Notch filter; Adaptive filter; Algorithm
• ISSN: 1057-7130
• DOI: 10.1109/82.242343

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.< >