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    • College of Agriculture, Engineering and Science
    • School Mathematics, Statistics and Computer Science
    • Computer Science
    • Masters Degrees (Computer Science)
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    Spectral techniques for roughness estimation.

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    Thesis (4.385Mb)
    Date
    2001
    Author
    Lewis, Mark.
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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.
    URI
    http://hdl.handle.net/10413/4697
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    • Masters Degrees (Computer Science) [79]

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