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N plays a role in assessing the data compressibility since a dataset can be represented on meshes of different refinements.
There is an extensive literature devoted to Jensen's inequality concerning different refinements and extensive results, e.g., see [8 20].
In recent years, a number of papers have appeared in which the authors constructed different refinements of discrete Jensen's inequality.
In this paper, we use a similar method to [2, 3] and we get different refinements of (1).
In this paper, we obtain several hardware implementations with different performance characteristics by applying different refinements to the algorithm.
Recent years have seen a proliferation of different refinements of the basic idea to achieve a closer match with commonsense judgements about causation.
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The computational grid consists of a number of nested grid blocks at different refinement levels.
This is due to interpolation errors arising during the restriction and prolongation operations between different refinement levels.
Note that in order to save the measurement time, this process needs to be optimized so that the movement between different refinement areas is minimized.
It is shown that commutivity of fine and coarse grid filters must be enforced in order to consistently relate variables at different refinement levels.
To assess the side information quality improvement during the different refinement passes, Table 3 reports the PSNR values of the interpolated frames for the two sets for GOP values of 2, 4, and 8.
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