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The effect of aliasing of the frequency domain approach can effectively reduce by selecting a small sampling interval for the time domain excitation function.
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Contamination of the sample can be reduced by selecting the right embedding material and technique.
Their effect may thus be reduced by selecting a suitable OFDM parametrization.
However, in the DPE this error is reduced by selecting the best reference neighbors.
The detection errors can be reduced by selecting the most appropriate θ value.
The rate of inbreeding could be reduced by selecting more sires every year.
The internal volume can be further reduced by selecting a core of smaller inner diameter.
Memory latencies are reduced by selecting memory resources whose cache performance are optimized for the algorithm's access patterns.
Thus, energy intensity in machining could be significantly reduced by selecting toolpaths with longer linear path segments.
The maximum eccentricity growth for GPS and GALILEO can be significantly reduced by selecting operational inclinations a few degrees from the current nominal values for both programs.
Finally, the additional complexity in the IMSI technique can be significantly reduced by selecting the blocks for which the reestimation is performed as defined in [25].
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