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This sequence of adaptation and combination steps updates the estimate of w° from ψk,i-1to ψk,i: ψ k, i = ∑ t ∈ N k, s ( i ) a k, l s ϕ l, i (5).
Figure 6 MSE performance for target location estimation based on a different number of total bees and the same proportion of informed bees (set at 5%). Figure 7 shows the result of diffusion adaptation compared with the situation where the bees do not cooperate with each other to estimate the target location (the combination steps are not used).
For the ES-LMS/ES-RLS and SI-LMS/SI-RLS algorithms, we design different combination steps and employ the same adaptation procedure, which means the proposed algorithms have the ability to equip any diffusion-type wireless networks operating with other than the LMS and RLS algorithms.
In combination, steps 1 and 2 will thus allow families and therapists to make more informed decisions about where to focus their resources at assessment (i.e. which factors to assess) and intervention (i.e. which factors to target).
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(2) Combination step.
(Phase combination step, PHSCMB).
Then, we reformulate the combination step.
The algorithm consists of two steps: an adaptation (processing) step followed by a consultation (combination) step.
Then, we introduce the vector and matrix quantities required to describe the combination step.
In the combination step, we analyze the computational complexity in Table 3.
We hope to avoid the human area in combination step of panoramic creation.
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