Sentence examples for by the error probabilities from inspiring English sources
For the UL connection, the error probabilities of the UT-RNi links cannot be neglected and the global and are dictated by both the cooperative decoding in the BS (destination), that is, and, and by the error probabilities of the UT-RNi links, that is, and.
Second, V ( α 2 / σ ) is a sharp upper-bound since it is attained by the error probabilities of tests L mpe and T λ D in the least favorable case where ℙ [ ϵ = 1 ] = 1 / 2 and Θ(t f)=αe iΦ t,f) with Φ(t f) uniformly distributed in [0,2Π) and i is the imaginary unit (i2 = −1).
We see that for fixed θ, increasing the SNR improves the throughput and also the reliability of the transmissions by lowering the error probabilities.
Then, by comparing the error probabilities resulted from these two sets of parameters, we employ the parameter set with the lower error probability as the local minimum of the problem after re-applying the integer constraints.
In the preceding sections, the analysis of dispersed spectrum cognitive radio network by obtaining the error probabilities for different scenarios and the MGF of the dispersed spectrum CR system over Nakagami-m channel is provided.
By substituting the error probabilities for the PAM-system, we can obtain the corresponding QAM-system BERs as a function of : (9). Figure 3 uses the expressions derived above to calculate the BER rates for the LP and HP streams using a fixed 16-QAM constellation with, and typical convolutional codes used on both streams.
The simulation outcome is expressed by the error probability that is the minimal total average error probability [10] on the testing set: (16).
We use the volume (weighted by the error probability) of the shell (from t(s + i - 1) to t(s + δ(s))), we still have to explore, as numerator.
We observe that the upper bound of P2 decreases exponentially with the truncation depth W, so that BER is dominated by the error probability P1 for truncation depth W ≥ W' = 35.
We first derive upper bounds on the error probabilities induced by finite truncation depth and finite trellis length.
