RT Journal Article
T1 Dynamic Speckle Analysis using Multivariate Techniques
A1 López Alonso, José Manuel
A1 Alda, Javier
A1 Rabal, Héctor
A1 Grumel, Eduardo
A1 Trivi, Marcelo
AB In this work we use principal components analysis to characterize dynamic speckle patterns. This analysis quantitatively identifies different dynamics that could be associated to physical phenomena occurring in the sample. We also found the contribution explained by each principal component, or by a group of them. The method analyzes the paint drying process over a hidden topography. It can be used for fast screening and identification of different dynamics in biological or industrial samples by means of dynamic speckle interferometry.
PB IOP Publishing Group
SN 2040-8986
YR 2015
FD 2015-03-01
LK https://hdl.handle.net/20.500.14352/22994
UL https://hdl.handle.net/20.500.14352/22994
LA eng
DS Docta Complutense
RD 12 abr 2025