A fast recursive-least-squares adaptive notch filter and its applications to biomedical signals

被引：21
|
作者：
Ma, WK [1 ]
Zhang, YT
Yang, FS
机构：
[1] Chinese Univ Hong Kong, Dept Elect Engn, Shatin, NT, Peoples R China
[2] Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China
来源：
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING | 1999年 / 37卷 / 01期
关键词：
adaptive notch filter; distortion product otoacoustic emissions; recursive-least-squares algorithm;
D O I：
10.1007/BF02513273
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
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.
引用
收藏
页码：99 / 103
页数：5
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