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Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/44749
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dc.contributor.authorYin, X.-
dc.contributor.authorNg, B.-
dc.contributor.authorFischer, B.-
dc.contributor.authorAbbott, D.-
dc.contributor.editorBob Miles,-
dc.date.issued2007-
dc.identifier.citationJoint 32nd International Conference on Infrared and Millimeter Waves, 2007 and the 2007 15th International Conference on Terahertz Electronics, IRMMW-THz:514-515-
dc.identifier.isbn1424414393-
dc.identifier.isbn9781424414383-
dc.identifier.urihttp://hdl.handle.net/2440/44749-
dc.description.abstractWe use the theory of two dimensional discrete wavelet transforms to derive inversion formulas for the Radon transform of terahertz datasets. These inversion formulas with good localised properties are implemented for the reconstruction of terahertz imaging in the area of interest, with a significant reduction in the required measurements. As a form of optical coherent tomography, terahertz CT complements the current imaging techniques and offers a promising approach for achieving non-invasive inspection of solid materials, with potentially numerous applications in industrial manufacturing and biomedical engineering (Withayachumnankul et al., 2005).-
dc.description.statementofresponsibilityXiaoxia Yin, Brian W.-H. Ng, Bradley Ferguson, Derek Abbott-
dc.language.isoen-
dc.publisherIEEE-
dc.source.urihttp://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4516608&tag=1-
dc.titleTerahertz local tomography-
dc.typeConference paper-
dc.contributor.conferenceIRMMW-THz2007 (2007 : Cardiff, Wales)-
dc.publisher.placeCDROM-
pubs.publication-statusPublished-
dc.identifier.orcidNg, B. [0000-0002-8316-4996]-
dc.identifier.orcidAbbott, D. [0000-0002-0945-2674]-
Appears in Collections:Aurora harvest
Electrical and Electronic Engineering publications

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