Spectral techniques for roughness estimation.

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dc.creator Lewis, Mark.
dc.date.accessioned 2011-12-22T08:42:08Z
dc.date.available 2011-12-22T08:42:08Z
dc.date.created 2001
dc.date.issued 2001
dc.identifier.uri http://hdl.handle.net/10413/4697
dc.description Thesis (M.Sc.)-University of Natal, Durban, 2001. en
dc.description.abstract Roughness 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.language.iso en en
dc.subject Surface roughness--Measurement. en
dc.subject Fourier transformations. en
dc.subject Wavelets (Mathematics) en
dc.subject Theses--Computer science. en
dc.title Spectral techniques for roughness estimation. en
dc.type Thesis en

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