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

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

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. Res...

Full description

Bibliographic Details
Main Authors: G. Nico, T. Laudadio, A. Lamura, M. Ladisa
Format: Article
Language:English
Published: SpringerOpen 2007-01-01
Series:EURASIP Journal on Advances in Signal Processing
Online Access:http://dx.doi.org/10.1155/2007/39575
id doaj-6ea1d1448cac47eb9f6d15b63763e7b6
record_format Article
spelling doaj-6ea1d1448cac47eb9f6d15b63763e7b62020-11-25T00:59:17ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802007-01-01200710.1155/2007/39575Application of the HLSVD Technique to the Filtering of X-Ray Diffraction DataG. NicoT. LaudadioA. LamuraM. LadisaA 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 effciently the useful crystallographic information. These characteristics make the filter an interesting and user-friendly tool for processing of XRD data. http://dx.doi.org/10.1155/2007/39575
collection DOAJ
language English
format Article
sources DOAJ
author G. Nico
T. Laudadio
A. Lamura
M. Ladisa
spellingShingle G. Nico
T. Laudadio
A. Lamura
M. Ladisa
Application of the HLSVD Technique to the Filtering of X-Ray Diffraction Data
EURASIP Journal on Advances in Signal Processing
author_facet G. Nico
T. Laudadio
A. Lamura
M. Ladisa
author_sort G. Nico
title Application of the HLSVD Technique to the Filtering of X-Ray Diffraction Data
title_short Application of the HLSVD Technique to the Filtering of X-Ray Diffraction Data
title_full Application of the HLSVD Technique to the Filtering of X-Ray Diffraction Data
title_fullStr Application of the HLSVD Technique to the Filtering of X-Ray Diffraction Data
title_full_unstemmed Application of the HLSVD Technique to the Filtering of X-Ray Diffraction Data
title_sort application of the hlsvd technique to the filtering of x-ray diffraction data
publisher SpringerOpen
series EURASIP Journal on Advances in Signal Processing
issn 1687-6172
1687-6180
publishDate 2007-01-01
description 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 effciently the useful crystallographic information. These characteristics make the filter an interesting and user-friendly tool for processing of XRD data.
url http://dx.doi.org/10.1155/2007/39575
work_keys_str_mv AT gnico applicationofthehlsvdtechniquetothefilteringofxraydiffractiondata
AT tlaudadio applicationofthehlsvdtechniquetothefilteringofxraydiffractiondata
AT alamura applicationofthehlsvdtechniquetothefilteringofxraydiffractiondata
AT mladisa applicationofthehlsvdtechniquetothefilteringofxraydiffractiondata
_version_ 1725218221451116544

Similar Items