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Sample configurations and pricing are listed below.
In the matrix H, each row corresponds to one of sample configurations.
In general, sample configurations were very similar, as were task perceptions.
The D-optimal design approach iteratively updates a set of sample configurations in order to increase the determinant |H T ·H|, i.e., minimize the log-determinant of noise variance matrix in (15) to find optimal sample configurations.
We will now explain how to obtain component values from sample configurations and how to select sample configurations based on a linear model of RF components in Section 2.2.3.
The estimated gain and IIP3, (widehat {Y}) in (18), of sample configurations are plotted on the y-axis against true gain and IIP3Y of the sample configurations on the x-axis in Fig. 7a and b respectively.
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A sample configuration follows.
Gateway NV Series Availability, Price and Sample Configuration.
A sample configuration from each is listed below.
A sample configuration as well as specifications and pricing follow.
Fig. 4 Configuration subsets full-factorial desubsets full-factorialsign set, andesignle configuration set.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com