Results 11 to 20 of about 27,482,395 (244)
Correction of blink artifacts using independent component analysis and empirical mode decomposition. [PDF]
Blink-related ocular activity is a major source of artifacts in electroencephalogram (EEG) data. Independent component analysis (ICA) is a well-known technique for the correction of such ocular artifacts, but one of the limitations of ICA is that the ICs
Bhattacharya, Joydeep, Lindsen, Job P.
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Scatter Matrices and Independent Component Analysis
Austrian Journal of Statistics, 2016 In the independent component analysis (ICA) it is assumed that the components of the multivariate independent and identically distributed observations are linear transformations of latent independent components.
Hannu Oja, Seija Sirkiä, Jan Eriksson
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State-space independent component analysis for nonlinear dynamic process monitoring [PDF]
, 2010 The cost effective benefits of process monitoring will never be over emphasised. Amongst monitoring techniques, the Independent Component Analysis (ICA) is an efficient tool to reveal hidden factors from process measurements, which follow non-Gaussian
Odiowei, P. P., Cao, Yi
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Egyptian Journal of Remote Sensing and Space Sciences, 2021 The main objective of this research is to evaluate change detection techniques to monitoring land-cover changes that occurred between 2016 and 2017 in the study area located in new administrative capital region in Cairo Governorate, Egypt. The Study area
Ahmed Saber +3 more
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Theta but not beta power is positively associated with better explicit motor task learning
NeuroImage, 2021 Neurophysiologic correlates of motor learning that can be monitored during neurorehabilitation interventions can facilitate the development of more effective learning methods.
Joris van der Cruijsen +7 more
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Applied Sciences, 2021 Brain signals can be measured using multiple imaging modalities, such as magnetic resonance imaging (MRI)-based techniques. Different modalities convey distinct yet complementary information; thus, their joint analyses can provide valuable insight into ...
Chunying Jia +5 more
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Frontiers in Human Neuroscience, 2013 In functional MRI it is desirable for the blood-oxygenation level dependent (BOLD) signal to be localized to the tissue containing activated neurons rather than the veins draining that tissue. This study addresses the dependence of the specificity of the
Alexander eGeissler +12 more
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TFT-LCD Mura Defects Using Independent Component Analysis
Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2009 Independent component analysis (ICA) is used to detect the mura regions with varying sizes and brightness levels before thresholding, then individually analyzed the mura regions in order to avoid unnecessary background effect.
Shang Liang CHEN, Chi Chin YANG
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An Introduction to Independent Component Analysis: InfoMax and FastICA algorithms [PDF]
Tutorials in Quantitative Methods for Psychology, 2010 This paper presents an introduction to independent component analysis (ICA). Unlike principal component analysis, which is based on the assumptions of uncorrelatedness and normality, ICA is rooted in the assumption of statistical independence ...
Dominique Gosselin +2 more
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Bi-Smoothed Functional Independent Component Analysis for EEG Artifact Removal
Mathematics, 2021 Motivated by mapping adverse artifactual events caused by body movements in electroencephalographic (EEG) signals, we present a functional independent component analysis based on the spectral decomposition of the kurtosis operator of a smoothed principal
Marc Vidal +2 more
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