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dc.contributor.advisorFlesjå, Arthur
dc.contributor.authorMehus, Haakon
dc.descriptionMaster's thesis in Automation and signal processingen_US
dc.description.abstractHearing damage among offshore workers has been a problem for many years, and it remains one of the most common disorders in this group. A proposal to use active noise control to improve the noise conditions has thus been made. This thesis discusses whether using ANC to reduce noise in an offshore industrial environment is a reasonable measure. At the same time, it explains how it can be used in different situations and what requirements are set for achieving a functional setup; these claims are based on available literature. In addition, normalised subband adaptive filtering has proven to enhance the convergence behaviour of the LMS algorithm for highly correlated input signals. An experimental method has been used to test whether these findings can be passed on to the FxLMS algorithm, which is a further developed LMS algorithm adapted to active noise control. Simulations in MATLAB, based on a single-input single-output composition and autoregressive input signals were used to test the hypothesis.en_US
dc.publisherUniversity of Stavanger, Norwayen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.titleActive Noise Control in the Offshore Industryen_US
dc.typeMaster thesisen_US
dc.subject.nsiVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550en_US

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