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In [22], a low-complexity approximate SISO multiuser detector based on soft interference cancellation and linear minimum mean square error (MMSE) filtering was developed, but the performance of this detector is unfavorable at low SNR.
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In the metropolitan area scenario we study an interference coordination scheme based on soft frequency reuse.
Using soft sets as the granulation structures, Feng et al. [8] defined soft approximation spaces, soft rough approximations and soft rough sets, which are generalizations of Pawlak's rough set model based on soft sets.
Using soft sets as the granulation structures, Feng et al. [21] initiated soft approximation spaces and soft rough sets, which generalize Pawlak's rough sets based on soft sets.
Literature [4] also considers the blind recognition of coding parameters based on soft decisions.
We therefore propose yaw correction based on soft tissue simulation to overcome this problem.
Then, several specific softwares for social network analysis based on soft computing are presented as well.
Major limitation of this study is about structural analysis based on soft tissue modelling.
The rest, she said, was based on soft tissue depth measurements and other forensic methodology.
Therefore, an approach based on soft dictionary matching and rules becomes a natural choice.
The proposed turbo multiuser receiver is based on iterative soft interference cancellation.
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