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Detection of Auditory Cortex Activity by fMRI Using a Dependent Component Analysis
(SPRINGER-VERLAG BERLIN, 2010)
Functional MRI (fMRI) data often have low signal-to-noise-ratio (SNR) and are contaminated by strong interference from other physiological sources. A promising tool for extracting signals, even under low SNR conditions, ...
On the conditions for valid objective functions in blind separation of independent and dependent sources
(Springer, 2012-10)
It is well known that independent sources can be blindly detected and separated, one by one, from linear mixtures by identifying local extrema of certain objective functions (contrasts), like negentropy, Non-Gaussianity ...
Using generic order moments for separation of dependent sources with linear conditional expectations
(European Association For Signal Processing, 2013)
In this work, we approach the blind separation of dependent sources based only on a set of their linear mixtures. We prove that, when the sources have a pairwise dependence characterized by the linear conditional expectation ...
High-intensity curvilinear movements’ relevance in semi-professional soccer: An approach from principal components analysis
(2021-01-01)
Due to the high number of variables reported from tracking systems, the interest in data reduction techniques has grown. To date, principal component analysis (PCA) has been performed in soccer, but since the results depend ...
Substituent effects on H-1 and C-13 NMR chemical shifts in alpha-monosubstituted phenyl acetates by principal component analysis (PCA)
(Elsevier Science BvAmsterdamHolanda, 2005)
Principal component analysis in studies of substituent-induced carbon-13 chemical shifts of halogenated aliphatic compounds
(Elsevier Science BvAmsterdamHolanda, 2004)
Principal component analysis of the hydroxymethylation of sugarcane lignin: A time-depending study by FTIR
(Marcel Dekker IncNew YorkEUA, 1999)
Gender-dependent differences in plasma matrix metalloproteinase-8 elevated in pulmonary tuberculosis
(Public Library of Science, 2015)
Tuberculosis (TB) remains a global health pandemic and greater understanding of underlying pathogenesis is required to develop novel therapeutic and diagnostic approaches. Matrix metalloproteinases (MMPs) are emerging as ...
Discrimination of forage pea seed lots by means of multivariate techniques
(2019-01-01)
Multivariate techniques allow to understand the structural dependence contained in the variables, as well as to characterize groups of seed lots according to specific standards. Thus, this study analyzes the efficiency of ...