摘要
在有源噪声控制系统实现的过程中,次级通路建模精度对有源控制算法实现、系统的稳定性及降噪量都有重要影响。提出了一种基于小波神经网络的次级通路建模方法,研究了其结构化设计方法和相应的学习算法,并通过计算机仿真验证了其有效性。
In the implementation of active noise control, it is very important for accurate secondary paths modeling to keep the stability of the control system. A new method of the secondary paths modeling is presented, and its structural design method and corresponding learning algorithm are explored. Finally, its validity is proved by the computer simulation.
出处
《电声技术》
2007年第5期63-65,共3页
Audio Engineering
关键词
次级通路
通路建模
有源噪声控制
secondary path
path modeling
active noise control
