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The stability analysis and error estimate are presented.
The definition of the generalized solution and a useful a priori estimate are presented in Section 2.
The algorithms for obtaining the channel estimate are presented in Section 3, and the MUD algorithms in Section 4. In Section 5 the complexity of the algorithms is discussed, and in Section 6 the performance of different algorithm combinations is investigated.
Comparisons with each mathematical estimate are presented in Table 3 and Figure 3.
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The final draft of the estimate was presented to Mr. Bush and Mr. Cheney last Wednesday.
Finally, a cost estimate is presented.
The respective estimate is presented in column (2).
The parameter estimate is presented as the antilog of the result of the linear regression analyses.
Initial ideas and first estimates are presented.
Estimates are presented for the US, by State, region, economic class, and type of farm.
Model estimates are presented in Table 4.
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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