error probabilityの例文

• Recently, the exponential rate of convergence of the error probability was provided.
• It also allowed the calculation of both types of error probabilities.
• Articles with small deletion margins and high error probabilities are what matters to me.
• This permits device-independent, high-fidelity data storage for computationally useful periods with bounded error probability.
• For that, let us sort the 2 ^ k messages by their decoding error probabilities.
• The bit error ratio can be considered as an approximate estimate of the bit error probability.
• Phred was able to calculate highly accurate quality scores that were logarithmically linked to the error probabilities.
• The decoding error probability is exponentially small.
• Thus the achieved decoding error probability of C ^ { * } is exponentially small as Theorem 1.
• The mathematics of this approach were rather simple, since Phred quality scores are logarithmically linked to error probabilities.
• Phred quality scores Q are defined as a property which is logarithmically related to the base-calling error probabilities P.
• The relationship between these normalised times and Human Error Probabilities ( HEPs ) is based on simulator experimental data.
• We shall discuss the construction Forney's code for the Binary Symmetric Channel and analyze its rate and decoding error probability briefly here.
• This when expressed in asymptotic terms, gives us an error probability of 2 ^ {-\ Omega ( \ gamma N ) }.
• For each of the identified influences quantitative values are calculated, which are then used to derive final Human Error Probability ( HEP ) estimates.
• In practice, an error probability of 1 / 3 might not be acceptable, however, the choice of 1 / 3 in the definition is arbitrary.
• By the noisy-channel coding theorem, the channel capacity of a given information per unit time ) that can be achieved with arbitrarily small error probability.
• Furthermore, its lack of Human Error Probability ( HEP ) as an output is a marked difference of the method compared to first generation HRA methodologies.
• However, with joint decoding, if vanishing error probability for long sequences is accepted, the Slepian Wolf theorem shows that much better compression rate can be achieved.
• The new algorithm has no immediate applications, since existing ones are faster and their error probability can be made so small that it is practically zero.