Title :
Piecewise-Linear Expansions for Nonlinear Active Noise Control
Author :
Sicuranza, Giovanni L. ; Carini, Alberto
Author_Institution :
DEEI, Trieste Univ.
Abstract :
Functional link artificial neural networks exploiting orthogonal functional expansions have been recently proposed as efficient structures for nonlinear active noise control. In this paper it will be shown that simple piecewise-linear expansions can effectively replace trigonometric and orthogonal polynomial expansions. The controller is adapted using an extension of the affine projection algorithm we recently proposed and studied with reference to its transient and steady-state behavior
Keywords :
active noise control; nonlinear control systems; affine projection algorithm; nonlinear active noise control; piecewise-linear expansions; transient behavior; Active noise reduction; Actuators; Adaptive filters; Artificial neural networks; Filter bank; Finite impulse response filter; Noise figure; Piecewise linear techniques; Projection algorithms; Working environment noise;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Conference_Location :
Toulouse
Print_ISBN :
1-4244-0469-X
DOI :
10.1109/ICASSP.2006.1660627