Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1155/2007/39575 | EURASIP J. Adv. Sig. Proc. |
Keywords | Field | DocType |
filter performance,different noise level,singular value decomposition,useful crystallographic information,x-ray diffraction data,user-friendly tool,x-ray diffraction,xrd data,hlsvd filter,hankel-lanczos singular value decomposition,lanczos methods,real powder xrd intensity,hlsvd technique,x ray diffraction,spectral theory | Data processing,Computer science,Noise level,Robustness (computer science),Artificial intelligence,Quantum information,Diffraction,Computer vision,Singular value decomposition,X-ray crystallography,Optics,Algorithm,Filter (signal processing) | Journal |
Volume | Issue | ISSN |
2007 | 1 | 1687-6180 |
Citations | PageRank | References |
1 | 0.48 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| M. Ladisa | 1 | 1 | 1.16 |
| A. Lamura | 2 | 1 | 1.50 |
| T. Laudadio | 3 | 7 | 3.36 |
| G. Nico | 4 | 1 | 0.48 |