Application of neural networks in active noise reduction systems.

Int J Occup Saf Ergon

Department of Acoustic and Electromagnetic Hazards, Central Institute for Labour Protection-National Research Institute, Warsaw, Poland.

Published: December 2003

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.

Download full-text PDF

Source
http://dx.doi.org/10.1080/10803548.2003.11076567DOI Listing

Publication Analysis

Top Keywords

active noise
16
noise reduction
16
neural networks
12
reduction systems
12
systems based
8
application neural
4
active
4
networks active
4
noise
4
reduction
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!