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Marginal PDFs of mixture fraction, enthalpy, and gas temperature are presented.
Integrating (1) with respect to or lead to the marginal PDFs of the phase and magnitude as follows: (2).
Therefore, we use an approximate inference framework to compute the estimates of the marginal pdfs of the variables, called beliefs.
To obtain the mean value for this Gaussian approximation, the marginal pdfs of the first eigenvalues are required, which can be obtained from (14).
Regarding the estimation of θ, as the type of marginal pdfs of copula density function should be given in advance, it will be discussed in Section 4.
A two-step CFAR detector [1] is also proposed by computing the magnitude and phase thresholds separately based on the marginal PDFs of magnitude and phase.
Similar(52)
In (A.5), the marginal pdf of is given by (A.6).
where f S i ( s i ) is called the marginal pdf of variable S i.
Let T φ ̃ k ( φ ̃ k ) be the marginal PDF of φ ^ k.
When and from (6), it follows that the series representation of the marginal pdf of is (A.7).
In Figure 2a, b, we show the marginal PDF of φ ̃ k for k = 1,..., 15 and k = 15, respectively.
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