Phred quality scores Q are defined as a property which is logarithmically related to the base-calling error probabilities P.
12.
The relationship between these normalised times and Human Error Probabilities ( HEPs ) is based on simulator experimental data.
13.
We shall discuss the construction Forney's code for the Binary Symmetric Channel and analyze its rate and decoding error probability briefly here.
14.
This when expressed in asymptotic terms, gives us an error probability of 2 ^ {-\ Omega ( \ gamma N ) }.
15.
For each of the identified influences quantitative values are calculated, which are then used to derive final Human Error Probability ( HEP ) estimates.
16.
In practice, an error probability of 1 / 3 might not be acceptable, however, the choice of 1 / 3 in the definition is arbitrary.
17.
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.
18.
Furthermore, its lack of Human Error Probability ( HEP ) as an output is a marked difference of the method compared to first generation HRA methodologies.
19.
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.
20.
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.
