Global ETD Search
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Showing 1 to 4 of 4 for “"Multiresolution wavelet"”.
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Multiresolution wavelet analysis of event-related EEG potentials using ensemble of classifier data fusion techniques for early diagnosis of Alzheimer's disease
… of the ERP signals is accomplished through multiresolution wavelet decomposition, producing time-frequency features in successive spectral bands. In previous studies, these feature sets were concatenated and used as inputs to a neural network classifier. This contribution investigates …
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A Solution of the Heat Equation with the Discontinuous Galerkin Method Using a Multilivel Calculation Method That Utilizes a Multiresolution Wavelet Basis
<p>A numerical method to solve the parabolic problem is developed that utilizes the Discontinuous Galerkin Method for space and time discretization. A multilevel method is employed in the space variable. It is shown that use of this process yields the same level of accuracy as the standard …
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Stacked generalization for early diagnosis of Alzheimer's disease
… effectiveness.</p> <p>Recent studies have used wavelets and other signal processing methods to analyze EEG signals in an attempt to find a noninvasive biomarker for AD. In this study, multiresolution wavelet analysis was performed on event related potentials (ERPs) of electroencephalogram (EEG) …
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Data fusion of complementary information from parietal and occipital event related potentials for early diagnosis of Alzheimer's disease
… decomposed into different frequency bands using multiresolution wavelet analysis. Two data fusion approaches are then investigated: i.) concatenating features before presenting them to a classification algorithm with the expectation of creating a more informative feature space, and ii.) …