A singular-value decomposition approach to X-ray spectral estimation from attenuation data

1986 ◽  
Vol 243 (2-3) ◽  
pp. 530-538 ◽  
Author(s):  
Shoji Tominaga
Keyword(s):  
Singular Value Decomposition ◽  
Spectral Estimation ◽  
Singular Value ◽  
Decomposition Approach ◽  
X Ray ◽  
Value Decomposition

scholarly journals A singular value decomposition approach for improved taxonomic classification of biological sequences

BMC Genomics ◽  
2011 ◽  
Vol 12 (Suppl 4) ◽  
pp. S11 ◽  
Author(s):  
Anderson R Santos ◽  
Marcos A Santos ◽  
Jan Baumbach ◽  
John A McCulloch ◽  
Guilherme C Oliveira ◽  
...  
Keyword(s):  
Singular Value Decomposition ◽  
Singular Value ◽  
Taxonomic Classification ◽  
Biological Sequences ◽  
Decomposition Approach ◽  
Value Decomposition

scholarly journals Singular value decomposition as a tool for background corrections in time-resolved XFEL scattering data

2014 ◽  
Vol 369 (1647) ◽  
pp. 20130336 ◽  
Author(s):  
Kristoffer Haldrup
Keyword(s):  
Singular Value Decomposition ◽  
Singular Value ◽  
Scattering Data ◽  
High Time Resolution ◽  
Light Sources ◽  
Time Resolved ◽  
X Ray ◽  
Very Large Datasets ◽  
Chaotic Nature ◽  
Value Decomposition

The development of new X-ray light sources, XFELs, with unprecedented time and brilliance characteristics has led to the availability of very large datasets with high time resolution and superior signal strength. The chaotic nature of the emission processes in such sources as well as entirely novel detector demands has also led to significant challenges in terms of data analysis. This paper describes a heuristic approach to datasets where spurious background contributions of a magnitude similar to (or larger) than the signal of interest prevents conventional analysis approaches. The method relies on singular-value decomposition of no-signal subsets of acquired datasets in combination with model inputs and appears generally applicable to time-resolved X-ray diffuse scattering experiments.

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