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Novel Noise Reduction Methods

2014
Magnetoencephalography (MEG) is a non-invasive neuroimaging tool that offers a combination of excellent temporal and good spatial resolution, provided that the acquired signals have a high enough signal-to-noise ratio. This requirement is often compromised as MEG signals are very weak and often masked by interfering signals from environmental noise ...
Samu Taulu   +3 more
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Robust Methods for Data Reduction

2016
Robust Methods for Data Reduction gives a non-technical overview of robust data reduction techniques, encouraging the use of these important and useful methods in practical applications. The main areas covered include principal components analysis, sparse principal component analysis, canonical correlation analysis, factor analysis, clustering, double ...
FARCOMENI, Alessio, Luca Greco
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Multiple terminal reduction method

2013 IEEE International SOC Conference, 2013
We proposed a novel terminal reduction method that can cope with substrate noise analysis. The key point of our idea uses the some properties of positive matrix whose entries are all positive. We gave proof of these properties. We can reduce multiple input terminal numbers into very small number, therefore Model Order Reduction can work very well.
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The Reduction Method

1976
We obtain decidability results for propositional calculi using the reduction method. We treat languages containing one or two modal operators of the form □A, where □ could be necessity L or tense operators G, H. Let ◊ be ∼□∼. Before we begin with the body of this chapter, let us discuss other available methods for obtaining decidability, mainly through
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A reduction method for variational inequalities

Mathematical Programming, 1998
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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CO2 hydrogenation to methanol over Cu/ZnO/ZrO2 catalysts prepared by precipitation-reduction method

Applied Catalysis B: Environmental, 2016
Ning Zhao, Fukui Xiao, Junwei Wang
exaly  

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