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Spectral techniques for roughness estimation.

dc.contributor.authorLewis, Mark.
dc.date.accessioned2011-12-22T08:42:08Z
dc.date.available2011-12-22T08:42:08Z
dc.date.created2001
dc.date.issued2001
dc.descriptionThesis (M.Sc.)-University of Natal, Durban, 2001.en
dc.description.abstractRoughness is a relatively untouched field considering its significance to natural scientists. In this thesis mathematical techniques for measuring the roughness of signals are constructed and investigated. Both one dimensional and two dimensional signals are tackled. Applications include geological profiles and biological surfaces. Mathematical techniques include Fourier and Wavelet Transforms.en
dc.identifier.urihttp://hdl.handle.net/10413/4697
dc.language.isoenen
dc.subjectSurface roughness--Measurement.en
dc.subjectFourier transformations.en
dc.subjectWavelets (Mathematics)en
dc.subjectTheses--Computer science.en
dc.titleSpectral techniques for roughness estimation.en
dc.typeThesisen

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