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Here the complexity of the BPSK HNN MLSE and the M-QAM HNN MLSE equalizer is shown for, and, for to. Figure 12 Computational complexity comparison for the HNN MLSE equalizers for realistic data block lengths.
It is clear that the computational complexity of the HNN-TE increases with an increase in coded data block length, but for realistic data block lengths the complexity of the HNN-TE is superior to that of the CTE for channels with long memory.
What about the tradeoff between robustness, power, and speed for realistic data?
This property makes resampling techniques like bootstrapping intractable for realistic data sets due to the increasingly large number of bootstrap samples not having a maximum-likelihood estimator (MLE).
Feder et al. (2013) reported recently that Bollback et al. 's (2008) standard χ-based test for selection is biased for realistic data with few sampled time points.
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The data of Figure 7 confirms that our choice to implement the Sapporo2 library for the GPU is an efficient method for realistic data-set sizes.
In the following we will explore the role of realistic heterogeneous network structures, adopting power-law degree distributions P(k) ∝ k− γ for analytical convenience, mimicking in this way the airline network as drawn from realistic data.
The paper concludes with some discussion of the value of this methodology for obtaining realistic data.
And while interesting advances are being made in data storage on DNA molecules, for now, realistic data storage options are still a little less sci-fi sounding.
This paper introduces a scheme whereby the box_tree model can significantly enlarge its simulation parameters allowing for more realistic data generation.
For more realistic data, we generate subnetworks of the S. cerevisiae (yeast) protein interaction network from BioGRID [ 36].
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