Sentence examples for sample reconstruction from inspiring English sources

We have evaluated the proposed approach by comparing the CS-based signal recovery against conventional discrete sample reconstruction in terms of signal-to-noise ratio (SNR) and mean squared error (MSE).

It rules out the possibility that attentional shift between test objects or sample reconstruction is responsible for increased RT in PR trials.

The error of sample reconstruction is minimized.

In "Results" section below, we show sample reconstructions and timings for this implementation.

One of the four sample reconstructions and the cropped images of the reconstructions are shown in Fig. 8.

The cross-sectional sample reconstructions using these three methods are presented in Fig. 3.

In Figures 10 and 11, we show sampled reconstruction of weak poses.

Typical non-uniform sampling reconstruction algorithms involve an iterative process [5].

For thick samples reconstruction at such high nanometric resolutions, the main limitation of current reconstruction approaches are due to the complex wave propagation within the sample, given by the inhomogeneous Helmholtz equation.

The proposed sampling, reconstruction, and prediction scheme assumes that only a small number of randomly selected nodes acquire measurements during each sampling instance, while nodes that are not in the sampling group enter a low-power state.

Red insets in (d) and (f) show the reconstructed pores obtained with a relative dose of 0.25 and 0.3, respectively, compared to the fully sampled reconstruction (yellow inset in (a)).