Paper Info
Title
Effects of secondary path modeling errors on the Modified FX-LMS algorithm for active noise control
Abstract
The Modified FX-LMS (MFX-LMS) algorithm has been the subject of some research. It effectively removes the delay from the adaptation mechanism allowing faster convergence rates than the FX-LMS. It also allows the use of more sophisticated algorithms such as the RLS or the Kalman. Although this is true for perfect secondary path modeling, there is no extensive study of the influence of secondary path modeling errors in this algorithm. This paper tries to do just that. It shows that its maximum allowed step-size is in fact almost independent of the delay in the secondary path, even in the presence of modeling errors. It also shows that for very large delays the algorithm is stable for phase errors of /spl plusmn/60/spl deg/ and for an estimated amplitude of more than half of the correct one.
Year
DOI
Venue
2001
10.1109/ICASSP.2001.940342
ICASSP
Keywords
Field
DocType
spl deg,modified fx-lms,sophisticated algorithm,active noise control,secondary path modeling error,perfect secondary path modeling,modified fx-lms algorithm,adaptation mechanism,large delay,convergence rate,spl plusmn,secondary path,kalman filters,error correction,rls algorithm,frequency domain analysis,least squares approximation,stability,anc,convergence,numerical stability,lms algorithm,model error
Least mean squares filter,Convergence (routing),Mathematical optimization,Computer science,Control theory,Kalman filter,Active noise control,Amplitude,Numerical stability,Recursive least squares filter
Conference
ISBN
Citations 
PageRank 
0-7803-7041-4
1
0.46
References 
Authors
2
2
Name
Order
Citations
PageRank
P. A. C. Lopes1313.90
M. S. Piedade2182.64