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.
Department of Electronic Engineering, Chinese University of Hong Kong, Shatin, N.T. wkma@ee.cuhk.edu.hk
W K
WK
Ma
Y T
YT
Zhang
F S
FS
Yang
D004582:Electronics, Medical; D006801:Humans; D016018:Least-Squares Analysis; D012815:Signal Processing, Computer-Assisted