Spectral techniques for roughness estimation.
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Date
2001
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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.
Description
Thesis (M.Sc.)-University of Natal, Durban, 2001.
Keywords
Surface roughness--Measurement., Fourier transformations., Wavelets (Mathematics), Theses--Computer science.