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This is because the proposed algorithm uses primarily the high frequency components of the given block.
This is because the proposed algorithm with sufficient weighting factor value could change the routing to distribute traffic load.
Furthermore, MVs cannot be estimated for rotational movement because the proposed algorithm works with the assumption of translational rigid body motion.
This is because the proposed algorithm can allocate subchannels and power to SUs in a global viewpoint, whereas Zukang's algorithm is constrained by the division of SU groups.
Because the proposed algorithm can accurately obtain the position of acoustic emission source, combined with the embedded sensor coordinates and acoustic wave propagation speed.
This is because the proposed algorithm filtered with luminance and chrominance components, and we also refine Y component to avoid over-smoothing original texture.
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It is because that the proposed algorithm benefits from both multicast gain and the diversity gin of the subchannel qualities by considering the configurations of the MCPs.
Because of this, the proposed algorithm has the advantage that it does require no assumption of statistical models of measurement noise and of object dynamics.
The proposed approach increases the robustness of the proposed algorithm because only phase rotation is introduced in the ISI-free region, which can be simply compensated by using a single-tap equalizer.
Furthermore, because GA is global searching, the proposed algorithm using GA yields smaller BER than that of the proposed water filling method.
This situation is beneficial in complex problems, because along the iterative process, the proposed algorithm improves their capabilities to search for the best solution.
More suggestions(15)
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com