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Maximal ratio combining algorithm is implemented at the receiver side to combine all these copies.
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The optimal soft combining algorithm was proposed by [25], where a Neyman-Pearson criterion was used for the weighted combination of the local samples.
This combined algorithm is compared to solutions using SIMPLE as the main solver.
The combined algorithm is presented and its capabilities discussed in a set of multidimensional examples.
It is shown that the combined algorithm is more accurate than EKF in robot localization under the real operation conditions.
Practically, the combined algorithm is found fast enough for the computation of the transient and steady-state hydrodynamic behavior of the continuously and spatially distributed interacting liquid liquid dispersions.
The combined algorithm is validated for two test systems consisting of 13 and 40 thermal units whose incremental fuel cost function takes into account the valve-point loading effects.
Here, BFO and PSO combined algorithm is developed and represented with the help of flow diagram in Fig. 4.
This form of combined algorithm is much more flexible than using parallelization on data or on tasks separately.
In this case, we can get the conclusion that VA-BD combined algorithm is more suitable than the EMD method in this low SNR condition.
We can obtain the conclusion that VA-BD combined algorithm is suitable for vital sign signal separation because of its low SNR in normal conditions.
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