Title :
Fast least squares adaptive notch filtering
Author :
Travassos-Romano, J.M. ; Bellanger, M.
Author_Institution :
CNRS-ESE, Gif-sur-Yvette, France
Abstract :
An adaptive notch filter based on a fast recursive least squares (FLS) algorithm is studied. The adaptive procedure takes place in the FIR (finite impulse response) section of the filter and the IIR (infinite impulse response) section is updated each time with the most recent coefficients of the other section. The implementation can take the form of a cascade of second order sections. Overall, the FLS notch filter has about the same complexity as the transversal adaptive filter, but performs better for the analysis of narrow-band signals in high-level noise
Keywords :
digital filters; filtering and prediction theory; least squares approximations; notch filters; FIR; IIR; adaptive notch filter; digital filters; fast recursive least squares algorithm; finite impulse response; high-level noise; infinite impulse response; narrow-band signals; second order sections; transversal adaptive filter; Adaptive filters; Equations; Filtering; Finite impulse response filter; IIR filters; Least squares approximation; Least squares methods; Signal analysis; Transfer functions; Transversal filters;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on
Conference_Location :
New York, NY
DOI :
10.1109/ICASSP.1988.196857
