Broadband Active Noise Control Using a Neural network

摘要

This paper presents a neural network-based con- trol system for Adaptive Noise Control (ANC). The control sys- tem derives a secondary signal to destructively interfere with the original noise to cut down the noise power. This paper begins with an introduction to feedback ANC systems and then de- scribes our adaptive algorithm in detail. Three types of noise sig- nals, recorded in destroyer, F 16 airplane and MR imaging room respectively, were then applied to our noise control system which was implemented by software. We obtained an average noise power attenuation of about 20 dB.