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Computer simulation results demonstrate the advantage of the proposed channel estimation methods in mean square error performance.
The difference of both methods in mean diameter and standard deviation are 2.6nm and 6.1nm, respectively.
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Since 1.5013 2 > 1.0988 2 > 0.5184 2, our results excel the results of HD and the least squares method in mean squares error (MSE).
where n is the actual frame number, k is the band index and Ē [ k, 0 ] = 0. Briefly, we observed the perceptual effect of our method in means of both the proposed features and the perceptual intermediate steps which are applied prior to feature extraction.
Results presented show that the proposed method significantly outperform all baseline methods in the means of both, the PSNR and the SSIM measure.
It can be seen that the values of PSNR and SSIM are consistent with the visual results, and that the proposed method significantly outperforms all baseline methods in the means of PSNR and specially SSIM measure.
The simulation study showed that NPMVS outperformed the other two popular shrinkage estimation methods in some mean-variance relationships; and NPMVS was competitive with the two methods in other relationships.
The obtained results show the superiority of the proposed approach over the existing methods in terms of mean average precision, precision at position n, and normalized discount cumulative gain.
Between the free and paid media recruitment methods, referrals differed in mean age, proportion of women >24 weeks GA, and mean income quintile (Table 9).
Main outcome measures Mean utility scores (or median if means unavailable) for each method, and differences in mean (median) scores between direct and indirect methods.
"Most of our users do come from hormonal contraception — and they're thinking I'll use this method in the mean time to also understand how my body works".
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com