Title :
Fast least squares adaptive notch filtering
Author :
Travassos-Romano, J.M. ; Bellanger, M.
Author_Institution :
LSS/ESE, Plateau du Moulon, Gif-sur-Yvette, France
fDate :
9/1/1988 12:00:00 AM
Abstract :
An adaptive notch filter based on a fast recursive-least-squares (FLS) algorithm is introduced. The structure is canonical and consists of a transversal section cascaded with an IIR section. The adaptive procedure takes place in the transversal section, and the impact of the notch factor is pointed out. Overall, the FLS notch filter has about the same complexity as the fast transversal adaptive filter, but it performs better for the analysis of narrowband signals in high-level noise
Keywords :
filtering and prediction theory; least squares approximations; IIR section; canonical; complexity; high-level noise; least squares adaptive notch filtering; narrowband signals; notch factor; transversal section; Acoustic signal processing; Adaptive filters; Adaptive signal processing; Filtering; IIR filters; Least squares methods; Power harmonic filters; Signal processing algorithms; Speech processing; Transversal filters;
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on
