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We still use Ambulation as the benchmark app and choose the sampling rates as SENSOR_DELAY_FASTEST.
If we choose the sampling intervals larger, the bandwidth occupied will be narrower, which improves the spectrum efficiency.
We derive formulae for the AOQ and AFI, and consider how best to choose the sampling plan parameters in the presence of nonzero correlation.
A number of design variables is available in system identification to increase model accuracy in specified frequency bands: among others, one can resort to prefiltering or choose the sampling interval in a suitable way.
Our simulation results also show that with if we choose the sampling spacings larger, the main lobe of PSD obtained from these two sampling will be much narrower than the original QPSK signal.
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The question is how to choose the sample areas where manual classification is carried out.
It just announced a change that will allow subscribers to choose the samples to be sent to them, moving away from the one-box model.
The question is how to choose the sample areas where manual classification is to be carried out.
We further discuss when we should apply the two-phase design and how to choose the sample sizes for two-phase samples.
In order to choose the sample for our study, we used a random sampling technique.
We choose the sample size n = 4000, parameters interested as the input variables, and the value of R0 as the output variable.
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