Sentence examples for estimation background from inspiring English sources

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This paper is organized as follows: Section 2 reviews previous motion smoothing algorithms and related estimation background.

Spectral preprocessing was performed, which included background and noise estimation, background subtraction, alignment and normalisation to partial ion current before spectral analysis by the VeriStrat algorithm, which classifies each sample as VeriStrat Good, Poor or Indeterminate.

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One more set was used for estimation of background radiation, and the net difference between the mean value of the 3 chips of each set and the background dose was considered to be the final measurement.

For the estimation of "background" concentrations, the influences of local pollution (e.g., buoyant upslope flow) and long-range transport should be excluded, while for the estimation of "baseline" concentrations, only local pollution should be excluded.

We demonstrate the accuracy and precision of these estimates in simulation studies of ELISpot plates with 90 pools of 6 or 7 peptides arranged in three dimensions and three Mock wells for the estimation of background.

Thus, the long-term window should be long enough to facilitate accurate estimation of background, on the one hand, and short enough to enable the influence of clutter to be tracked, on the other hand.

The camera has four filters for observations of different nighttime airglow emissions (at 557.7, 630.0, 695.0, and 777.4 nm) and one filter for estimation of background emission (at 605.0 nm).

Subsequently the British Museum performed thermoluminescence dating which was consistent with the relief being fired in antiquity; but the method is imprecise when samples of the surrounding soil are not available for estimation of background radiation levels.

CIM should ideally be performed after ensuring that marker coverage is sufficient to provide an unbiased estimation of background effects.

We have developed a program for the analysis of tiling array data, TiArA, which is packaged as a virtual appliance and uses an empirical estimation of background based upon probe GC content.

Today, several methods for the estimation of background signal level (sum of noise and non-specific hybridization) and data normalisation exist, but these are designed to work with commercial arrays (MAS 5.0, RMA, MBEI, and gcRMA) [8] [11].

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