A fast recursive-least-squares adaptive notch filter and its applications to biomedical signals.
A fast recursive-least-squares (FRLS) adaptive notch filter (ANF) for cancellation of sinusoidal interference from recorded biomedical signals is investigated. The FRLS ANF is derived by making an approximation to the conventional recursive-least-squares (RLS) ANF for computation economy. It outperforms the commonly adopted least-mean-squares (LMS) ANF, demonstrating a rapid and bandwidth-insensitive initial convergence. A novel application of the FRLS ANF is for the elimination of the tonal artefact in distortion product otoacoustic emission (DPOAE) signals.
Ma
W K
WK
Department of Electronic Engineering, Chinese University of Hong Kong, Shatin, N.T. wkma@ee.cuhk.edu.hk
Zhang
Y T
YT
Yang
F S
FS
D004582:Electronics, Medical; D006801:Humans; D016018:Least-Squares Analysis; D012815:Signal Processing, Computer-Assisted