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Blocking probability p b (ρ, n / k) as a function of n for different k.
Figure 5 RMSE as a function of N for SNR = 40 dB evaluated on single-pitch signal with unit amplitude: (a) fundamental frequency estimates; (b) DOA estimates.
Figure 1 shows the value of (frac {K}{N}) as a function of N for systems with various stochastic energy sources, where K is the number of silent sensing symbols and N is the total number of candidate sensing symbols.
Figure 7 RMSE as a function of N for SNR = 40 dB evaluated on multi-pitch signal with unit amplitudes: (a) joint fundamental frequency estimates; (b) joint DOA estimates.
where B ρ, c) is the Erlang-B function [30] for ρ Erlangs and c servers. Figure 4 indicates the evolution of the blocking probability as a function of n for different k. Figure 4 Blocking probability.
We plot in Fig. 7 the median similarity with the 90% confidence interval, as a function of N, for the InVS15 case (see Additional file 1 for the other cases).
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Average waiting time t s (n) as a function of n and λ for tRA(n, m = 10).
So, for n = 130 the networks go over the 95% threshold, and all the DMNs present these kind of global structure when the nets reach n = 350 elements, except for λ = 90%, in which case the percentage varies very slowly as a function of n, reaching 99.5% for n = 350 and 100% for n = 700.
Efficiency of N capture in milk protein as a function of N intake was higher for animals on CP16+CU.
The left panel of figure 3 shows scatter plots of Δ n c i / Δ n i as a function of n c i / n i for three selected categories.
To obtain the final results, the error estimate as a function of N is made and they are obtained as the extrapolation for N tending to infinity.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com