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oai:docta.ucm.es:20.500.14352/229942023-08-28T08:53:39Zcom_20.500.14352_14col_20.500.14352_15

00925njm 22002777a 4500 dc López Alonso, José Manuel author Alda, Javier author Rabal, Héctor author Grumel, Eduardo author Trivi, Marcelo author 2015-03-01 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. 2040-8986 10.1088/2040-8978/17/3/035609 https://hdl.handle.net/20.500.14352/22994 http://iopscience.iop.org/2040-8986/17/3/035609/ Dynamic Speckle Analysis using Multivariate Techniques