scholarly journals Analysis of self-associating proteins by singular value decomposition of solution scattering data

2008 ◽  
Vol 94 (12) ◽  
pp. 4906-4923 ◽  
Author(s):  
Tim E. Williamson ◽  
Bruce A. Craig ◽  
Elena Kondrashkina ◽  
Chris Bailey-Kellogg ◽  
Alan M. Friedman
Keyword(s):  
Singular Value Decomposition ◽  
Singular Value ◽  
Scattering Data ◽  
Value Decomposition ◽  
Decomposition Of Solution

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.

Improving TF-IDF with Singular Value Decomposition (SVD) for Feature Extraction on Twitter

2017 ◽  
Author(s):  
Ammar Ismael Kadhim ◽  
Yu-N Cheah ◽  
Inaam Abbas Hieder ◽  
Rawaa Ahmed Ali
Keyword(s):  
Feature Extraction ◽  
Singular Value Decomposition ◽  
Singular Value ◽  
Value Decomposition
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