Services with higher match degree are selected as candidate services.
Finally, for the multiple candidate technique is given by (12).
Taking the limit of single candidate target, we consider multiple candidate targets.
Sometimes, multiple candidate norms vie for dominance in a population.
In addition, this approach provides designers with multiple candidate designs.
The function matching gets the candidate services that meet requirements of the task; the context matching employs user contexts to get reasonable services from numerous candidate services.
However, we suggest using our PDF (multiple candidates) to obtain the theoretical error performance and also the statistical channel capacity for the multiple candidate system.
In this section, we describe the multiple candidate solution for reduction of PAPR. Figure 1 describes the multiple candidate system and our PDF notation for several variables.
The cases with multiple candidate variables are solved by judgment.
There are two situations that can cause a contig to create candidates in multiple candidate groups.
