DEFINITION 2.4 (Optimal order under an a-priori
[mathematical expression not reproducible] (i) is the a-priori
probability of bit i derived from the channel extrinsic information and input to the second decoder.
(iii) A clear a-priori
strategy for the automatic computation and selection of the necessary trial vectors using an energy criterion and POD.
As output distribution is not known a-priori
so we have used equally spaced output membership functions (as discussed earlier).
The first general a-priori
principle he developed was the principle of relativity, i.e.
Our approach is based on graph clustering and makes no use of a-priori
knowledge about the language or the domain to process.
The usage of cross-entropy is based firstly to check the sign consistency between a-priori
information and the extrinsic information, and then compute the associated number of sign differences between the extrinsic information, and then compute the associated number of sign differences between the extrinstic information sequence and the a-priori
information sequence so as to normalize the output information of soft-in soft-out (SISO) turbo decoder (Lu et al., 2009).
<![CDATA[ Supreme Court: Hamas-run Gaza residents who wish to visit imprisoned terrorist relatives in Israel don't have a-priori
humanitarian right to do so.]]>
expectation criteria which is based on the signs and magnitudes of the co-efficients of the variables under investigation; and the statistical criteria which is based on statistical theory, which in other words is referred to as the First Order Least Square (OLS) consisting of Rsquare ([R.sub.2]), F-statistic and t-value.
LLR value [L.sub.E] ([c.sub.i]) obtained by Eq.
We achieve our objective by displaying nonnegative definite Lyapunov functionals, which in turn give the a-priori
Why, aside the glamour factor of a form with such authorial appeal--Shakespeare, Herbert, Donne (explicitly referenced), Keats, Hopkins--is there such a desire to label poems in this a-priori
In addition, a careful manual revision of the original a-priori
classification was achieved by an expert not involved in the previous labeling of the data set.