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This form of sampling is useful to automate sampling while considerably reducing the sampling times.
To prevent aliasing when reducing the sampling rate, an anti-aliasing lowpass filter is generally used.
In this paper we study techniques for reducing the sampling noise inherent in pure Monte Carlo approaches to global illumination.
Reducing the sampling switch voltage dependency on input signal is the key idea to linearize conventional S/H structure.
Interval arithmetic provides an adaptive sampling mechanism, which is a key strategy to improve efficiency by reducing the sampling points.
First, the current consumption of the telemetry unit can be lowered by reducing the sampling rate.
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As a consequence, research has been directed towards miniaturization thereby reducing the sample volume to nanolitres.
The results suggest that reducing the sample temperature leads to decrease in the emission line intensities under both environments.
One of the recommended strategies is reducing the sample complexity.
Reducing the sample requirement amount will make the platform more practical for biopsy-based tests in the clinic.
These complexes were not detected after reducing the sample when no DSS was present (Figure 3A).
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