Exact(5)
The rest of this section is devoted to EXIT analysis of BP decoding on the joint factor graph and the iterative computation of I v → p ( k ) ( l ).
To compensate for the channel effects, it was shown using the joint factor analysis (JFA) technique that the speaker and channel variability can be confined as two disjoint subspaces in the parameter spaces of GMM [12],[12].
However, the modulus ratio obtained from the relations involving the joint factor, Jf, indicate a definite decrease in the modulus ratio with a decrease in the quality of the rock mass.
One of the key issues addressed here is the mutual information computation (as required for EXIT analysis) for messages passed from factor nodes in the joint factor graph of the two LDPC codes, referred to as source channel factor (SCF) nodes, which represent the joint probabilities of the two sources and the output conditional probability density function (pdf) of the GMAC.
There was a strong and interpretable pattern in the Promax-rotated results of the five factor solution from the joint factor analysis of pooled items from the RDQ (Responses to Depression Questionnaire), MFQ (Mood and Feelings Questionnaire) and RCMAS (Revised Children's Manifest Anxiety Scale).
Similar(55)
Our ASV system additionally employs the technique known as joint factor analysis[19, 20].
As expected, the correlational pattern between the AIDA items reflected an unspecific phenotype of 15 components with one joint factor combining the most explanation of variance, speaking for the adequateness of using a total score.
The observation that CMV and HPyV9 viremia were not associated, however, suggests that the joint risk factor for the polyomaviruses is not simply explained by immunosuppression, which is a well-known risk factor for CMV.
and we let. the joint distribution factors as The stochastic encoder randomly generates (i) i.i.d.i.d
Since are statistically independent, the joint probability factors into a product of marginal probabilities of the form (14). so that (15).
The stochastic variables { T, T s, X, Y} form a Bayesian network: the joint density factors into conditional densities according to the directed acyclic graph (DAG) shown in Figure 1A.
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