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In addition to the complexity of channel estimation, the additional complexity of ( Oleft ({N_{c}^{3}}right)) is introduced by the IRC receivers because of the estimation and inversion of the channel covariance matrix for the interference signals [65].
The average hops in the proposed algorithm are relatively steady because of the estimation of the position of the sink through the farthest-highest energy dissemination node search, while in TTDD, they slightly increase with the node density.
If we compare BER curves to Perfect CSI case (or error-free estimation), we may see the initial increase of 4 dB in BER, which happens because of the estimation based on three pilots only.
Because of the estimation on (|S_{alpha}(t)|), (|K_{alpha}(t)|), and (|T_{alpha}(t)|) in Theorem 2.4 and Theorem 2.5, it is easy to see they are bounded.
Quantitative genetic methods enable more effective selection on single or multiple complex traits than selection on phenotypes because of the estimation of additive genetic variance in the population (the chief cause of resemblance of relatives and the only genetic component that can be estimated from observations on the population) and estimated breeding values of individuals.
The mean difference is the same for the paired and unpaired statistics but their statistical significance levels can be very different, because of the estimation of the variance component.
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When using these models, it is important to pay attention to the nature of the models because the results of the estimation are highly dependent on the clinical situation [ 15].
It can be seen that the BER with the conventional DFT channel estimator still encounters BER floor because of the channel estimation errors.
This algorithm is attractive not only because it provides an intuitive interpretation of the estimation, but also because of its monotone and global convergence properties.
There are many glitches around the Bragg peaks caused by the residual phase contamination because of the inaccurate estimation of the contamination frequency.
Also, because of the varying estimation samples it is difficult to present nested models with equal number of observations for each estimated specification when exploiting multiply imputed data.
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because of the valuation
because of the prediction
because of the esteem
because of the judge
because of the assessment
because of the test
because of the projection
because of the judgement
because of the verdict
because of the estimates
because of the assessments
because of the hardness
because of the pregnancy
because of the bar
because of the offense
because of the movie
because of the container
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Justyna Jupowicz-Kozak
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