摘要
针对车辆舱室内的噪声特点,在分析噪声系统非线性特性的基础上,将高速实时信号处理器DSP应用于有源降噪系统的硬件设计中,提出一种基于变结构RBF神经网络的噪声自适应控制方案,给出滤波-X算法并进行仿真验证。同时将该滤波算法的降噪效果和基本的滤波-X算法的进行比较。结果表明,采用该控制算法取得了良好的降噪效果。
Aiming at the characteristics of noise in vehicle cabins,and analyzing nonlinear characteristics of the system,the high-speed real-time signal processor（DSP）was used in active noise control system and an adaptive noise control project based on RBF networks was proposed.An algorithm of FX-RBF was given and simulated.Its noise reduction effect was compared with that of the basic filter-X algorithm.Simulation results showed that the noise reduction effect of the FX-RBF algorithm is good.
出处
《机床与液压》
北大核心
2011年第9期132-134,共3页
Machine Tool & Hydraulics
基金
唐山师范学院科研基金资助项目(10D05)
