Sentence examples for by the error probability from inspiring English sources

Exact(4)

From the figure, we see that BER is dominated by the error probability P1 for k ≥ k' = 27.

The simulation outcome is expressed by the error probability that is the minimal total average error probability [10] on the testing set: (16).

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 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.

Similar(56)

We compared the performance of our proposed method with that of conventional methods by using the error probability, which is another performance measures.

Since the decision region of the corresponding received signal decreases with the increase of M, when the signal suffers to the interference and the damage caused by noise, the error probability of the received signal will be bigger.

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).

Figure 7 studies the impact of pointing error, represented by ζ on the error probability performance of the system under severe atmospheric turbulence conditions (α=4.341 and α=1.309).

The quality score reported differs among the software packages: Phred scores are reported by Ibis; an Illumina specific encoding is used by Bustard and AltaCyclic, and the error probability is returned by BayesCall and naiveBayesCall.

We analytically evaluate the error probability by using a series expansion of generalized hypergeometric functions.

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