Spectral techniques for roughness estimation.
dc.contributor.author | 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.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.identifier.uri | http://hdl.handle.net/10413/4697 | |
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 |