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Areal autocorrelation and spectral analysis of surface topography

  • W. P. Dong
Chapter

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.

Keywords

Fast Fourier Transform Autocorrelation Function Electric Discharge Machine Discrete Fourier Transform Engineering Surface 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media Dordrecht 2001

Authors and Affiliations

  • W. P. Dong

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