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Still, Nielsen says, much remains unknown about how such a grid would work.
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In addition, we also explore how such an irregular grid suits radar processing and propose applying sparse signal processing (SSP) that is nowadays a major part of CS.
In addition, we also explore how such an irregular estimation grid suits radar processing in practice, propose applying SSP from CS, and adjust the grid accordingly for this type of processing.
Here's how such a program works.
How should such a grid be organized to minimize the number of grid cells required to achieve a given spatial resolution?
The writer tested a simulator of such a grid.
The analysis by Gore's people put the tab for such a grid at $400 billion.
Of course, such a grid would face both technological and political challenges.
Such a grid may be detectable via present-day astrophysical observations --- specifically in observed energy limitations of ultra high-energy cosmic rays (UHECRs) as well as how such cosmic rays are spatially distributed on the sky.
(An alternative view, that the range might greatly exceed the largest period, is addressed in the 'Discussion'.) The spatial resolution of such a grid can be measured by comparing the range of spatial representation set by the largest period λ1 to the precision (related to the smallest grid field width l m ) to quantify how many distinct spatial 'bins' can be resolved.
Bookmakers' odds, however, rate such a grid-straining surge as unlikely.
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