Title: Creating 'zone of silence' condition: least mean square adaptive filter application for acoustic noise removal

Authors: Udayanto Dwi Atmojo

Addresses: Department of Electrical Engineering and Information Technology, Gadjah Mada University, Jalan Grafika 2 Yogyakarta 55281 Yogyakarta, Indonesia; Department of Electrical and Computer Engineering, University of Auckland, 38 Princes Street, Auckland, New Zealand

Abstract: This paper discusses an interesting application of adaptive filter, which is to create 'zone of silence' condition. In this research, 'zone of silence' condition is achieved by utilising adaptive filter with least mean square (LMS) algorithm for the filter adaptation. The adaptive filter will generate cancelling signal to suppress noise in the vicinity of target area, thus creating 'zone of silence' condition. A model for the filter has been proposed and simulated using LabView software. The results show that the model is able to cancel average noise signal power by 31,000 times.

Keywords: zone of silence; least mean squares; LMS; adaptive filtering; acoustic noise; LabView; signal processing; noise removal; noise cancellation; noise suppression; simulation.

DOI: 10.1504/IJICT.2012.048762

International Journal of Information and Communication Technology, 2012 Vol.4 No.2/3/4, pp.179 - 186

Published online: 30 Aug 2014 *

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