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ACTIVE NOISE CONTROL USING NEURAL SYSTEM

Tuan Van Huynh 1, *
Nghĩa Hoai Duong 2
  1. University of Science, VNU-HCM
  2. University of Technology, VNU- HCM
Correspondence to: Tuan Van Huynh, University of Science, VNU-HCM. Email: pvphuc@hcmuns.edu.vn.
Volume & Issue: Vol. 13 No. 3 (2010) | Page No.: 67-74 | DOI: 10.32508/stdj.v13i3.2135
Published: 2010-09-30

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Copyright The Author(s) 2023. This article is published with open access by Vietnam National University, Ho Chi Minh city, Vietnam. This article is distributed under the terms of the Creative Commons Attribution License (CC-BY 4.0) which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited. 

Abstract

The principle of active noise control (ANC) is to produce a secondary acoustic noise which has the same magnitude as the unwanted primary noise but with opposite phase. The sum of these two signals reduces acoustic noise in the noise control area. In this paper we present a new ANC method using neural system. Moreover a new method for compensating the saturation of the power applifier is also introduced. The performance of the proposed method is compared to that of traditional methods. Simulation results are provided for illustration.

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