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With image processing, one can correct drift induced by electron interacting with sample, which is a long-standing difficult problem for high-resolution cryo-EM.
It is assumed here that the error term ε is identically and independently distributed (iid) although one can correct for heteroscedasticity (Anselin et al. 2006).
With good knowledge of the aerosol optical thickness (AOT) and of the aerosol model, and using radiative transfer codes, one can correct for the aerosol effects and convert the satellite top-of-atmosphere (TOA) reflectances into surface reflectances [30].
Therefore, from the inductive hypothesis, one can correct the x erasures among the first (widehat {n}) code symbols by contacting x+1 other code symbols out of these (widehat {n}) code symbols.
Hence, one can correct the weakness observed in Rho.
Therefore, one can correct for covariates by simply pre- and postmultiplying N(2) × N matrices, by appropriate projection matrices.
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Well, I can correct him on that one.
I can correct it – sometimes.
If the topology of the network under study is known, one can immediately correct for size effects, at least when using graph measures that allow for a closed mathematical description (e.g., Table 1).
Here we can correct one error according to t = ⌊(d − 1) / 2⌋ as the minimum Hamming distance between our code words is 7 − 4 = 3, we have 1 as the number of correctable errors.
We can observe that the performance improves as the code rate decreases because the codes can correct for one packet in a group of coded packets where.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com