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We are computing the respective LLRs for the OOK, making soft decisions and finally counting the number of bit errors.
I provide simple formulas for computing the respective score for bifurcating input- and supertrees.
The study is restricted insofar as in any case, 1000 repetitions are employed for computing the respective mean values and SD values; however, this number is apparently high enough to guarantee quite stable estimates.
The main focus of the analysis was to assess the neural substrate underlying body-specific fluent (and nonfluent) ABM by computing the respective interaction contrasts: (body/fluent > body/nonfluent) > (nonbody/fluent > nonbody/nonfluent) and (body/nonfluent > body/fluent) > (nonbody/nonfluent > nonbody/fluent); for an overview of the results of all contrasts of interest see Table 1.
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As we stated above, we implemented it on all platforms in order to compute the respective speedup in each computer system.
Although an exact LNLR computation required exact knowledge of the linear and nonlinear system components to compute the respective signal components, the LNLR can be estimated using the echo estimate (hat {y} k)) obtained by a converged long adaptive linear filter and the resulting error signal (e k)=y k -hat {y}(k)).
Further, for each constituent BNp, we compute the minimal distance of each state to states in D or to states in U, and then we compute the respective PBN distances d D and d U by taking weighted averages with respect to the selection probabilities.
This input is considered highly important, in order to compute the respective probabilities of each extreme event for all levels of intensity in the first step.
In this case, we can introduce the canonical d-connection (Equation 53) and compute the respective d-torsions in Equation 42 and d-curvatures in Equation 45.
In this method, initially the current signals measured on the either side of the distribution line are through the S-transform, which computes the respective energy at each end.
Once the normalization factors for various damage categories have been computed, the respective damage factors are normalized according to them and then weighted using the default weighting factors of EI99.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com