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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.

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