Active Noise Control Systems: Algorithms and DSP Implementations
Active Noise Control Systems: Algorithms and DSP Implementations
Baseband Volterra filters for implementing carrier basednonlinearities
IEEE Transactions on Signal Processing
Active control of nonlinear noise processes in a linear duct
IEEE Transactions on Signal Processing
Stochastic analysis of the filtered-X LMS algorithm in systems withnonlinear secondary paths
IEEE Transactions on Signal Processing
Adaptive Volterra filters for active control of nonlinear noiseprocesses
IEEE Transactions on Signal Processing
Improved training of neural networks for the nonlinear active control of sound and vibration
IEEE Transactions on Neural Networks
Nonlinear system identification: an effective framework based on the Karhunen-Loève transform
IEEE Transactions on Signal Processing
Computers and Electrical Engineering
A filtered-X RLS algorithm for nonlinear active noise control
ICS'06 Proceedings of the 10th WSEAS international conference on Systems
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We consider the use of adaptive Volterra filters, implemented in the form of multichannel filter banks, as nonlinear active noise controllers. In particular, we discuss the derivation of filtered-X affine projection algorithms for homogeneous quadratic filters. According to the multichannel approach, it is then easy to pass from these algorithms to those of a generic Volterra filter. It is shown in the paper that the AP technique offers better convergence and tracking capabilities than the classical LMS and NLMS algorithms usually applied in nonlinear active noise controllers, with a limited complexity increase. This paper extends in two ways the content of a previous contribution published in Proc. IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing (NSIP '03), Grado, Italy, June 2003. First of all, a general adaptation algorithm valid for any order L of affine projections is presented. Secondly, a more complete set of experiments is reported. In particular, the effects of using multichannel filter banks with a reduced number of channels are investigated and relevant results are shown.