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We had developed a new approach for accurate cross-talk and scatter corrections in simultaneous 99mTc/123I based on independent components analysis (ICA).
An artifact removal procedure was applied to the continuous data based on independent components analysis (ICA), implemented using EEGLab (Delorme and Makeig 2004).
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In this study, we propose an automatic method to reduce fMRI artifacts based on independent component analysis (ICA).
In this paper, we propose a novel source number estimation based on independent component analysis (ICA) and clustering evaluation analysis.
In this paper, a new method for voltage sag and swell detection and segmentation, based on Independent Component Analysis, is presented.
To identify the stimuli features of head variations, we propose a systematic approach based on independent component analysis (ICA), frequency analysis, cross-correlation analysis, well-selection strategy, and hourly average head analysis.
We consider a classifier based on Independent Component Analysis Mixture Modelling (ICAMM) to model the feature joint-probability density.
They combined a single-input multiple-output model based on independent component analysis (ICA) and a binary mask processing.
Many studies have been carried out to tackle BSS problems based on independent component analysis (ICA), which minimizes the statistical dependency among the output signals [4 8].
Akhtar et al. developed a framework based on independent component analysis (ICA) and a DWT variant to correctly detect artifacts embedded in EEG data [4].
The aim of this paper is to propose a preprocessing procedure based on independent component analysis (ICA) to ease the detection of rivets and/or flaws in the specimens under test.
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