Application of the HLSVD Technique to the Filtering of X-Ray Diffraction Data

نویسندگان

  • M. Ladisa
  • Antonio Lamura
  • Teresa Laudadio
  • Giovanni Nico
چکیده

A filter based on the Hankel Lanczos Singular Value Decomposition (HLSVD) technique is presented and applied for the first time to X-ray diffraction (XRD) data. Synthetic and real powder XRD intensity profiles of nanocrystals are used to study the filter performances with different noise levels. Results show the robustness of the HLSVD filter and its capability to extract easily and efficiently the useful crystallographic information. These characteristics make the filter an interesting and user-friendly tool for processing XRD data.

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عنوان ژورنال:
  • EURASIP J. Adv. Sig. Proc.

دوره 2007  شماره 

صفحات  -

تاریخ انتشار 2007