Sentence examples for sample reconstructed from from inspiring English sources
Complementary to these experimental investigations, a numerical study in a 3D geometry of a foam sample reconstructed from X-ray micro-computed tomography data was carried out in order to analyze the heat transfer process close to the wall.
The sampling theorem provides that a properly bandlimited continuous-time signal can be sampled and reconstructed from its samples without error, in principle.
The majority-rule consensus of 59,900 sampled trees reconstructed from two runs of Bayesian analysis (BA) generated a topology similar to the ML best tree.
Images of sample areas were reconstructed from the generation of simulated data for sample areas containing damage zones of different shapes and sizes located at various positions within the region.
The sample topography was reconstructed from the analysis of the cantilever deflection and corrected for the indentation depth that was calculated for each point of the map.
In geometric modeling and processing, computer graphics and computer vision, smooth surfaces are approximated by discrete triangular meshes reconstructed from sample points on the surfaces.
In addition to the analysis of the canSNPs that define the A.Br.008/009 sublineage, large portions of the pagA gene sequence were reconstructed from sample 7.RA93.15.15 by using 40 overlapping PCR fragments without whole genome amplification.
where F is the discrete-time Fourier transform (DFT) matrix and r t is the sample vector of a real-value signal r(t) which needs to be reconstructed from samples x.
A first set of annotated genes was developed for P. oceanica, reconstructed from samples collected at different depths10, and a SSH (Suppression Subtractive Hybridization) library was built in order to detect differentially expressed genes7,8,11.
We use the term frame here and elsewhere in the paper to refer to the field reconstructed from samples acquired within a single sensing time duration.
Here we develop a coalescent approach that allows Bayesian non-parametric estimation of the demographic history using genealogies reconstructed from sampled DNA sequences.
