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Next, intensity map for each wavelength band was obtained by integrating in time, the measured fluorescence decay signals in the temporal FLIM data cube for a given wavelength.
This process of normalization is illustrated by dashed arrows in Fig. 3. Finally, to obtain lifetime maps for each wavelength band, the measured temporal decays in a FLIM data cube for each wavelength band was deconvolved from the instrument response using the Laguerre deconvolution method and the lifetime was estimated by finding the expected value of the deconvolved decay [ 26].
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We describe NeAREst, an algorithm for estimating the instantaneous three-dimensional spatio-spectral data cube from CASSI's two-dimensional array of encoded and compressed measurements.
Topics include OLAP data cube techniques for exploring multi-dimensional datasets, data provenance, causality and explanations for query answers, handling uncertain data (probabilistic, incomplete, and inconsistent databases), data analysis with humans in the loop, and systems for large-scale data analytics and visualization.
We minimize a convex quadratic function with total variation (TV) constraints for data cube estimation from the 2D snapshot.
Figure 8 shows three stratal slices extracted from the 90° phase data cube (see Fig. 9 for their positions).
Note that the same classification procedure used in Section 5.4 was applied for each data cube constructed by the selected bands.
We then present a formal metamodel for a geographical data cube and propose the Geographical Multidimensional Query Language (GeoMDQL) as well.
The Just Data Cube was more than simply a wall for graffitti.
Therefore, the 90° phase data cube is not a good lithological criterion for the complex lithology zones where the impedances of sandstone and mudstone are difficult to distinguish.
In order to obtain these features, the first step was splitting the spectro-temporal FLIM data cube into different temporal FLIM cubes, one for each wavelength band.
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