EURASIP Journal on Audio, Speech, and Music Processing
Filtered-X affine projection algorithms for active noise control using Volterra filters
EURASIP Journal on Applied Signal Processing
A PSO approach for non-linear active noise cancellation
SMO'06 Proceedings of the 6th WSEAS International Conference on Simulation, Modelling and Optimization
Active Noise Control Using a Feedforward Network with Online Sequential Extreme Learning Machine
ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks
Nonlinear active noise control using NARX model structure selection
ACC'09 Proceedings of the 2009 conference on American Control Conference
Nonlinear active noise control with NARX models
IEEE Transactions on Audio, Speech, and Language Processing
Enhanced neural filter design and its application to the active control of nonlinear noise
IEA/AIE'07 Proceedings of the 20th international conference on Industrial, engineering, and other applications of applied intelligent systems
IEEE Transactions on Signal Processing
Active noise control based on kernel least-mean-square algorithm
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
A sparse-interpolated scheme for implementing adaptive volterra filters
IEEE Transactions on Signal Processing
A filtered-X RLS algorithm for nonlinear active noise control
ICS'06 Proceedings of the 10th WSEAS international conference on Systems
Nonlinear feedback active noise control for broadband chaotic noise
Applied Soft Computing
Pipelined robust M-estimate adaptive second-order Volterra filter against impulsive noise
Digital Signal Processing
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This paper presents a Volterra filtered-X least mean square (LMS) algorithm for feedforward active noise control. The research has demonstrated that linear active noise control (ANC) systems can be successfully applied to reduce the broadband noise and narrowband noise, specifically, such linear ANC systems are very efficient in reduction of low-frequency noise. However, in some situations, the noise that comes from a dynamic system may he a nonlinear and deterministic noise process rather than a stochastic, white, or tonal noise process, and the primary noise at the canceling point may exhibit nonlinear distortion. Furthermore, the secondary path estimate in the ANC system, which denotes the transfer function between the secondary source (secondary speaker) and the error microphone, may have nonminimum phase, and hence, the causality constraint is violated. If such situations exist, the linear ANC system will suffer performance degradation. An implementation of a Volterra filtered-X LMS (VFXLMS) algorithm based on a multichannel structure is described for feedforward active noise control. Numerical simulation results show that the developed algorithm achieves performance improvement over the standard filtered-X LMS algorithm for the following two situations: (1) the reference noise is a nonlinear noise process, and at the same time, the secondary path estimate is of nonminimum phase; (2) the primary path exhibits the nonlinear behavior. In addition, the developed VFXLMS algorithm can also be employed as an alternative in the case where the standard filtered-X LMS algorithm does not perform well