Morzyński Leszek, Makarewicz Grzegorz
Department of Acoustic and Electromagnetic Hazards, Central Institute for Labour Protection-National Research Institute, Warsaw, Poland.
Int J Occup Saf Ergon. 2003;9(3):257-70. doi: 10.1080/10803548.2003.11076567.
Active noise reduction systems based on a control unit in the form of a finite impulse response filter assume the linearity of every single component. Neural networks, which have so far been seldom used in this field, are a kind of a filter with the ability to project nonlinear characteristics of an active noise reduction system. This paper presents some simulation research studies of active noise reduction systems based on neural networks. Also presented are results of the operation of systems with different levels of complexity as well as the influence of different parameters of a neural network and of the system itself on those results.
基于有限脉冲响应滤波器形式的控制单元的有源降噪系统假定每个组件都是线性的。神经网络在该领域的应用至今尚少，它是一种能够呈现有源降噪系统非线性特性的滤波器。本文介绍了基于神经网络的有源降噪系统的一些仿真研究。文中还给出了不同复杂度系统的运行结果，以及神经网络和系统本身的不同参数对这些结果的影响。
