DocumentCode
3384559
Title
A recursive least square algorithm for active noise control based on the Gauss-Seidel method
Author
Albu, F. ; Palelologu, C.
Author_Institution
Fac. of Electron., Politeh. Univ. of Bucharest, Bucharest
fYear
2008
fDate
Aug. 31 2008-Sept. 3 2008
Firstpage
830
Lastpage
833
Abstract
In this paper, a new recursive least-squares algorithm (RLS) for multichannel active noise control using the Gauss-Seidel method is proposed. It is shown that the proposed algorithm has a much lower complexity than the previously published modified filtered-x RLS algorithm, with similar convergence property and good numerical stability. Its logarithmic number system implementation is also presented.
Keywords
active noise control; iterative methods; least squares approximations; recursive estimation; Gauss-Seidel method; convergence property; multichannel active noise control; numerical stability; recursive least square algorithm; Active noise reduction; Adaptive filters; Convergence; Delay; Finite impulse response filter; Gaussian noise; Least squares methods; Resonance light scattering; Sensor phenomena and characterization; Sensor systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics, Circuits and Systems, 2008. ICECS 2008. 15th IEEE International Conference on
Conference_Location
St. Julien´s
Print_ISBN
978-1-4244-2181-7
Electronic_ISBN
978-1-4244-2182-4
Type
conf
DOI
10.1109/ICECS.2008.4674982
Filename
4674982
Link To Document