B.5 Spatial Filtering
نویسنده
چکیده
منابع مشابه
Magnetic source localization via linearly constrained minimum variance spatial filtering
Spatial filtering has a long history of successful application in radar and sonar problems (e.g. [1,2]). The process of spatial filtering is also known as beamforming, since early spatial filters were designed to form pencil beams for either receiving or transmitting signals. More recently, spatial filtering has been applied to EEG and MEG [3–6, 8] to localize intracranial sources of electrical...
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The performances of the optimized tree-type cylindrical-shaped nanoporous fltering membranes with six or seven branch pores in each pore tree are analytically studied. The radius Rb,1 of the branch pore for fltration is normally on the 1 or 10 nm scales. The larger trunk pore is for ...
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1. Intraspecific trait variation (ITV) is hypothesized to play an important role in community assembly and the maintenance of biodiversity. However, fundamental gaps remain in our understanding of how ITV contributes to mechanisms that create spatial variation in the functional-trait composition of communities (functional b-diversity). Importantly, ITV may influence the perceived importance of ...
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Introduction: The accuracy of analyzing Functional MRI (fMRI) data is usually decreases in the presence of noise and artifact sources. A common solution in for analyzing fMRI data having high noise is to use suitable preprocessing methods with the aim of data denoising. Some effects of preprocessing methods on the parametric methods such as general linear model (GLM) have previously been evalua...
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