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Exact(1)
That is, every x and y-axis value on this figure are the average of the a few neighbors and itself, i.e., x i new = ( x i − 4 + x i − 3 + · · · + x i + 4 ) / 9. From Figure 4, the results of MCMC and brute force method have very similar shape, which verifies that MCMC indeed generates samples according to the mapped distribution.
Similar(59)
The method has very low limit of detection (LOD) andlimit of quantification (LO Q.
Therefore, our method has very extensive application in transportation, communications and other areas.
The proposed method has very close objective quality to H.264/AVC loop filter but the better GBIM.
Compared with traditional visual attention approaches, our method has very low computational complexity.
The method has very low computational demand and is suitable for the design of long filters.
It can be seen from the cases that the proposed method has very high search efficiency and calculation speed.
Experimental results indicate that our MLVC method has very low runtimes, with excellent accuracy compared to existing approaches.
Sensitivity studies and comparison of numerical results indicate that the method has very good consistency with FTA and FRANTIC model.
The new method has very little spatial numerical diffusion and tracks the interface singularities naturally and accurately.
What's more, the stocks found with the new method had very little overlap with those found with the old one.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com