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For these reasons, a larger sample of source trees than is typically used (≤5) is needed for investigating seed dispersal variation within populations [4].
It is worth comparing the reconstruction results obtained by bi-dimensional Fourier sampling of the sources with those obtained by modulating the source in one dimension only.
This methodology should be transformed from a retrospective analysis to a real-time pinpointing tool to guide environmental sampling of potential sources.
(Rate distortion for nested sampling of Gaussian source) Let x i ∼ N ( 0, σ i 2 ), i=1,2,⋯,L, be independent Gaussian random variables, and under squared error distortion.
A cross-sectional survey was performed by random sampling of the source population (SP) in the areas which contributed most of the households enrolled in the HHC cohort.
In particular we demonstrated that a 2D sampling of the source Fourier plane is required to improve the imaging capability.
Within a sample of unidentified sources, we try to find candidates for background objects and sources within the Milky Way.
There are, however, several works that simplify the problem by sampling the line of sources.
The importance of sampling all sources of error is illustrated by comparing this ensemble with an ensemble comprised of single 'best' parameterization for each hydrological model.
The common clay composition for most samples, of all sources, is illite smectite (IS) > kaolinite > illite.
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