Abstract
In addition to the statistical and geometric analysis methods, areal autocorrelation functions and spectral analysis techniques are also very important tools for extracting and representing certain features of 3-D surface topography. Since a practically acquired 3-D surface can always be represented by a discrete data matrix, it can be processed with advanced digital signal processing techniques. This can be very helpful for exploring the features that cannot readily be studied by other methods.
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© 2001 Springer Science+Business Media Dordrecht
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Dong, W.P. (2001). Areal autocorrelation and spectral analysis of surface topography. In: Mainsah, E., Greenwood, J.A., Chetwynd, D.G. (eds) Metrology and Properties of Engineering Surfaces. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-3369-3_5
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DOI: https://doi.org/10.1007/978-1-4757-3369-3_5
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4419-4732-1
Online ISBN: 978-1-4757-3369-3
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