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Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

863
Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next...
863

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EBSDinterp 1.0: A MATLAB® Program to Perform Microstructurally Constrained Interpolation of EBSD Data.

Mark A Pearce1

  • 1CSIRO Mineral Resources Flagship,Australian Resources Research Center,26 Dick Perry Avenue,Kensington,WA 6151,Australia.

Microscopy and Microanalysis : the Official Journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada
|July 17, 2015
PubMed
Summary
This summary is machine-generated.

EBSDinterp software enables microstructurally constrained interpolation of electron backscatter diffraction (EBSD) data. This GUI-based MATLAB program accurately fills missing data points, ensuring robust and artifact-free microstructural reconstructions.

Keywords:
EBSDband contrastinterpolatemicrostructureprocessing

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Area of Science:

  • Materials Science
  • Computational Materials Science
  • Crystallography

Background:

  • Electron Backscatter Diffraction (EBSD) is a key technique for microstructural analysis.
  • Nonindexed EBSD data points present a challenge for complete microstructure reconstruction.
  • Existing interpolation methods can lead to inaccuracies, such as artificial grain growth.

Purpose of the Study:

  • To develop a robust method for interpolating nonindexed EBSD data points.
  • To create a user-friendly graphical interface for EBSD data processing.
  • To ensure accurate and artifact-free microstructural reconstructions.

Main Methods:

  • A GUI-based MATLAB program, EBSDinterp, was developed.
  • Interpolation is constrained by microstructural features and restricted by band contrast (BC).
  • An iterative approach prioritizes high-quality data points and limits interpolation to grain interiors.

Main Results:

  • EBSDinterp successfully interpolates nonindexed EBSD data points.
  • The method restricts interpolation to areas of high band contrast, preventing erroneous grain growth.
  • MATLAB's parallel processing toolbox ensures rapid interpolation and parameter testing.

Conclusions:

  • EBSDinterp provides a reliable and efficient solution for handling incomplete EBSD datasets.
  • The software produces artifact-free microstructural reconstructions by prioritizing data quality.
  • The freely available software facilitates advanced EBSD data analysis.