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In this subsection, we will study the CRB obtained by only using the optimal biased estimator or prior information.
Moreover, the Trace-opt criterion leads to higher improvement of the CRB than the Eigen-opt one under the same norm constraint, which is similar to the results obtained from Figure 2. Figure 3 CRB of two angles obtained only by using the optimal biased estimator, as well as that of the uncorrelated waveforms, versus ASNR or CNR.
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Next, running the pipeline on the family dataset using the optimal set of thresholds derived from the case control dataset revealed several potential biases and suggested additional QC criteria.
At the stand level, using the optimal species cutpoint for mortality was shown to be superior as the mean percent bias ranged from –2.4%to4.6.6% with the error being the highest for total stem density (Table 9).
Then, stretch using the optimal.
The optimal bias magnetic field and sensitivity are studied through experiments.
Because of the difficulty to find the optimal bias value of each UE, in this article, we propose the scheme that every UE decides bias value independently to minimize the number of outage UEs by using Q-learning.
Since the optimal bias values vary from one UE to another [4], bias values should be defined by each UE.
From this figure, it is evident that the estimated and the optimal bias coincide quite well.
The model was then subjected to local energy minimization to identify the optimal position by using the ICM biased probability Monte Carlo algorithm and analytical derivatives in the internal coordinates.
We estimated codon bias using the frequency of optimal codons (Fop [ 137], where stronger synonymous codon usage bias is identified by larger Fop values. This index was calculated using the program CodonW (version 1.4.2 [ 138]).
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CEO of Professional Science Editing for Scientists @ prosciediting.com