THERP models human error probabilities ( HEPs ) using a fault-tree approach, in a similar way to an engineering risk assessment, but also accounts for performance shaping factors ( PSFs ) that may influence these probabilities.
42.
Hence we would have k \ geq \ lceil ( 1-H ( p + \ epsilon ) n ) \ rceil, a case we would like to avoid to keep the decoding error probability exponentially small.
43.
Shannon's theorem is an important theorem in forward error correction, and describes the maximum information rate at which reliable communication is possible over a channel that has a certain error probability or signal-to-noise ratio ( SNR ).
44.
It suffices to choose each variable's value uniformly at random from a finite subset of at least " d " values to achieve bounded error probability, where " d " is the total degree of the polynomial.
45.
Different numbers of sub-carriers can be assigned to different users, in view to support differentiated Quality of Service ( QoS ), i . e . to control the data rate and error probability individually for each user.
46.
Specified navigation accuracy for the LN-3 is a 50 % circular-error probability of two nautical miles after one hour's operation, which is equivalent to a 98 % c . e . p . of four nautical miles.
47.
AWPP contains the BQP ( Bounded error, Quantum, Polynomial time ) class, which contains the decision problems solvable by a quantum computer in polynomial time, with an error probability of at most 1 / 3 for all instances.
48.
In his doctoral thesis, Dave Forney showed that concatenated codes could be used to achieve exponentially decreasing error probabilities at all data rates less than capacity, with decoding complexity that increases only polynomially with the code block length.
49.
:On the other hand, the Shannon limit establishes that however noisy the digital channel is, there will still be a data rate that you can push through it with vanishingly small error probability, if you use sufficient error correction.
50.
Also, we can ensure that for the relativized E NP, linear time suffices, even for function problems ( if given a function oracle and linear output size ) and with exponentially small ( with linear exponent ) error probability.
