ACTIVE CONTROL OF ACOUSTIC NOISE USING RADIAL BASIS FUNCTION NEURAL NETWORKS

摘要

This paper presents nonlinear active control of acoustic noise using radial basis function (RBF) networks. A new algorithm referred to as FX-RBF is proposed to account for secondary path effects of the control system. Real-time implementation of the neural networks controller is performed using floating point DSP and is employed to control acoustic noise within an enclosure.