Please use this identifier to cite or link to this item: https://hdl.handle.net/10321/145
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dc.contributor.authorMare, Stefanusen_US
dc.date.accessioned2007-11-12T13:31:43Z-
dc.date.available2007-11-12T13:31:43Z-
dc.date.issued2007-
dc.identifier.other308512-
dc.identifier.urihttp://hdl.handle.net/10321/145-
dc.descriptionSubmitted in fulfilment of Doctoral in Technology: Electronic Engineering, Durban University of Technology, Durban, South Africa, 2007.en_US
dc.description.abstractDetecting and minimising distortion in audio signals is an important aspect of sound engineering. Distortion of a signal passing through an audio system may be caused by a number of factors and it is necessary to detect these effects for optimal sound. The problem is of interest to users and operators of high quality audio equipment and transmission facilities. The objective of this thesis was the development of techniques for the blind identification of distortion in a high quality audio signal using digital signal processing techniques. The techniques developed are based on digital signal processing techniques and statistical analysis of a recorded audio signal, which is treated as a random, non-stationary signal.en_US
dc.format.extent157 pen_US
dc.language.isoenen_US
dc.subjectNoise controlen_US
dc.subjectElectro-acousticsen_US
dc.subjectSignals and signalingen_US
dc.subjectElectronics--Dissertations, Academicen_US
dc.subject.lcshSound--Transmissionen_US
dc.subject.lcshAcoustical engineeringen_US
dc.subject.lcshElectric engineering--Dissertations, Academicen_US
dc.titleThe in-service determination of the presence of distortion in a high quality analogue sound signalen_US
dc.typeThesisen_US
dc.description.levelDen_US
dc.identifier.doihttps://doi.org/10.51415/10321/145-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1en-
item.grantfulltextopen-
item.fulltextWith Fulltext-
item.openairetypeThesis-
item.cerifentitytypePublications-
Appears in Collections:Theses and dissertations (Engineering and Built Environment)
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