Title :
Filtered-s LMS algorithm for multichannel active control of nonlinear noise processes
Author :
Das, Debi Prasad ; Mohapatra, S.R. ; Routray, A. ; Basu, T.K.
Author_Institution :
Dept. of Electr. Eng., Indian Inst. of Technol., Kharagpur
Abstract :
This correspondence proposes a novel nonlinear adaptive algorithm named as filtered-s least mean square (FSLMS) algorithm for multichannel active control of nonlinear noise processes. A reduced complexity FSLMS algorithm using filter bank approach is also suggested. The performance of the proposed algorithm is validated through computer simulations for nonlinear noise processes. It is demonstrated that the proposed method outperforms the conventional filtered-x least mean square algorithm and second-order Volterra filtered-x LMS (VFXLMS) algorithm for control of nonlinear noise processes. Computational complexity analysis shows the proposed method involves lesser number of computations as compared to second-order VFXLMS algorithm
Keywords :
active noise control; channel bank filters; computational complexity; filtering theory; least mean squares methods; nonlinear filters; computational complexity analysis; computer simulations; filter bank approach; filtered-s LMS algorithms; filtered-x least mean square algorithm; multichannel active control; nonlinear adaptive algorithm; nonlinear noise processes; second-order Volterra filter; Acoustic noise; Active noise reduction; Filter bank; Least squares approximation; Low-frequency noise; Microphones; Noise cancellation; Phase noise; Transfer functions; Working environment noise; Active noise control (ANC); filtered-s LMS algorithm; multichannel ANC; nonlinear ANC;
Journal_Title :
Audio, Speech, and Language Processing, IEEE Transactions on
DOI :
10.1109/TSA.2005.858543
