Title :
A design of an adaptive active noise control system in driver´s cab
Author_Institution :
Tangshan Teacher´´s Coll., Tangshan, China
Abstract :
Based on the analysis of the characteristics of practical noises in a driver´s cab, and aiming at the real time signal processing requirements, the high speed digital signal processor is used in the active noise control system. And combined with the nonlinear characteristics of the noise, an adaptive active noise control project based on the radial basis function neural network is proposed, at the same time an filter algorithm is given. The result proves the proposed adaptive active noise control system to be feasible and effective.
Keywords :
active noise control; adaptive control; filtering theory; radial basis function networks; signal processing; adaptive active noise control system; driver cab; filter algorithm; high speed digital signal processor; radial basis function neural network; Active noise reduction; Adaptive control; Adaptive signal processing; Control systems; Digital signal processing; Digital signal processors; Programmable control; Real time systems; Signal analysis; Signal processing algorithms; adaptive active noise control; the high speed digital signal processor; the radial basis function neural network;
Conference_Titel :
Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-5585-0
Electronic_ISBN :
978-1-4244-5586-7
DOI :
10.1109/ICCAE.2010.5451826
