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Exact(5)
Here, a denotes the scale factor between feature layers.
where α>0 denotes the scale parameter and β>0 the shape parameter.
where σ1 denotes the scale of the first derivative Gaussian kernel g x, y, σ1).
λ denotes the scale parameter, ( t={left[begin{array}{ccc}hfill Delta Xhfill & hfill Delta Yhfill & hfill Delta Zhfill end{array}right]}^{mathrm{T}} ) denotes the three translation parameters, and R denotes the 3 × 3 rotation matrix, which contains the three rotation angles.
SLRij denotes the scale normalised log-ratios.
Similar(55)
where U denotes the scaling up factor which means the number of allocation slots can be extended with several times.
The feature values are linearly scaled to the range ([-1,+1]) or [0, 1] using formula (2), where X denotes the original value; X denotes the scaled value.
To change the stimulus strength, the OU processes are linearly scaled using (tilde{S}(t) = bS t)) where b denotes the scaling size.
where denotes the scaling factor which is usually a complex value closely related to the equalizer taps and instantaneous phase rotation, and denotes residual interference from symbols other than.
Based on this observation, the ALE in Figure 4a can be approximated to the one in Figure 4c, where δ denotes the scaling constant that normalizes the response at the frequencies of the sinusoids.
where Hk,i is the Nr×Nt MIMO channel between the serving base station i and user k, and n k denotes the scaled noise vector whose entries are i.i.d.i.d
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com