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
fDate :
Aug. 31 2008-Sept. 3 2008
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;
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
DOI :
10.1109/ICECS.2008.4674982
