Sentence examples for advantage of sampling from inspiring English sources

The schemes take advantage of sampling the solution at the nodes (vertices) of each cell.

where Ω k and Ωk + 1 denote the lower and upper cutoffs for k th band, Ω1=0, and Ω M =4.a This sampling scheme ensures that the high energy regions are sampled more densely, which has the dual advantage of sampling the given modulation space with a relatively small set of scales and emphasizing high-energy signal components, which are presumably noise-robust.

It is important to note that this version of Bubbles, which samples information across spatial frequency bands, has the advantage of sampling information across the scales of a face.

A large time window has the advantage of sampling a higher number of spikes and thus generating INTHs with a higher resolution, but it is not optimal to analyze transient responses.

The bulk of the discussion centres on serological assays utilising the technique of ELISA, since here there is an obvious advantage of sampling multiple time points.

We included montane sites and a forest site on the island of Bioko in this analysis in order to take maximal advantage of sampling, and because we expected the relationship between morphology and tree cover to be general across habitats.

The apparent advantages of sampling via schools, rather than by door-to-door visits in the community, may be outweighed by this factor.

The speed advantage of sample-based methods compared to parametric methods like GMM has been reported in [17].

The main advantage of sample variances over residuals is that they do not require specification of a mean function.

Using this cryostat to cool a closed-loop of helium gas brings the additional advantage of sample spinning frequencies that can greatly surpass those achievable with nitrogen gas, due to the differing fluidic properties of these two gases.

The model takes advantage of sample information from preceding time periods through an appropriate time series model and from other domains by modelling the correlation between the trend components of the time series models for the different domains.