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Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/88305
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dc.contributor.authorFischer, B.-
dc.contributor.authorYin, X.-
dc.contributor.authorNg, B.-
dc.contributor.authorAbbott, D.-
dc.contributor.authorGalvao, R.-
dc.contributor.authorPaiva, H.-
dc.contributor.authorHadjiloucas, S.-
dc.contributor.authorWalker, G.-
dc.contributor.authorBowen, J.-
dc.date.issued2008-
dc.identifier.citation33rd International Conference on Infrared, Millimeter and Terahertz Waves, 2008. IRMMW-THz 2008, 2008, pp.661-662-
dc.identifier.isbn9781424421190-
dc.identifier.urihttp://hdl.handle.net/2440/88305-
dc.description.abstractThe results from a range of different signal processing schemes used for the further processing of THz transients are contrasted. The performance of different classifiers after adopting these schemes are also discussed.-
dc.description.statementofresponsibilityBernd M. Fischer, Xiaoxia Yin, Brian W.-H Ng, Derek Abbott, Roberto K.H. Galvão, Henrique M. Paiva, Sillas Hadjiloucas, Gillian C. Walker, John W. Bowen-
dc.language.isoen-
dc.publisherIEEE-
dc.rights©IEEE-
dc.source.urihttp://dx.doi.org/10.1109/icimw.2008.4665758-
dc.titleSubspace and Wavelet-Packet Algorithms for de-noising and classifying broadband THz transients-
dc.typeConference paper-
dc.contributor.conference33rd International Conference on Infrared, Millimeter and Terahertz Waves (15 Sep 2008 - 19 Sep 2008 : Pasadena, CA)-
dc.identifier.doi10.1109/ICIMW.2008.4665758-
pubs.publication-statusPublished-
dc.identifier.orcidNg, B. [0000-0002-8316-4996]-
dc.identifier.orcidAbbott, D. [0000-0002-0945-2674]-
Appears in Collections:Aurora harvest 7
Electrical and Electronic Engineering publications

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