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Generally, the BER is a function of the variance of the noise model (i.e., Gaussian noise assumed), the detector's responsivity, and the desired output current (Imin) needed at the next stage in the circuit past the links photodetector20.
There is similar support for pricing gambles, but the strength of the effect is a function of the variance of the gambles.
Figure 3 shows the mean and standard error of inferring the reaction rates using the proposed estimator, shown as a function of the variance of the observation noise (discretization time:, the number of particles:, the noise variance: ).
We furthermore simulate the SER of uncoded transmission as a function of the variance of the channel estimation error (sigma _{e}^{2}) in (8), demonstrating the robustness of the proposed leakage-bounded beamformer.
which results in P e max = N σ n 2 4 sin 2 Π / M p. It can also be seen from (22) that P e is a function of the variance of the channel estimation error at the symbol detector, and can be given by P e = f σ Δ h 2, (24).
It can also be seen from (22) that P e is a function of the variance of the channel estimation error at the symbol detector, and can be given by P e = f σ Δ h 2, (24) where the function f can be determined using computer simulations.
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The first three canonical discriminant functions explain 95.8% of the variance of the model.
Genetic variance, in turn, is a function of the number of QTL and of the variance of the individual QTL.
As we are using a GP, we can also get the variance of the functions conditioned on and H: 26.
We estimate the variance of the value function for a random optimal control problem.
The variance of the wavelength is a parameter of the Gaussian functions described above.
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