This part is modeled by the Matching Pursuit (MP) algorithm, which performs an analysis-synthesis procedure to represent the PCG signal as a linear combination of elementary waveforms.
In this work, we propose a procedure to represent the solutions of first-order matrix differential equations Y′(x)="f x,Y x)) with approximate matrix splines.
We present here a new procedure to represent the 3D distribution of neuronal cell bodies within the brain, using exclusively softwares free for research purposes.
Here we introduce a numerical procedure to represent the elliptic operators on the adapted grid, strongly coupling inter-grid relations that guarantee the conservation and accuracy properties of multiresolution finite volume schemes.
The knowledge model of systems for diagnosis is decomposed into structure model and function model, and this paper proposes a general procedure to represent the two models with OWL and SWRL.
The advantages and disadvantages of these three techniques are analyzed, leading to the conclusion that the recommended procedure to represent hmF2 is best characterized by a Spherical Harmonics expansion of degree and order equal to 15, since the differences between the hmF2 values obtained with the Jones and Gallet technique and those obtained using the abovementioned procedure are of only 1%.
The results indicate the potential of the proposed procedure to represent a MD equipment for the system evaluated, making possible the study of different operational policies in conducting this high vacuum distillation operation for high-value products, such as the derived from oil refining.
We therefore consider the 379 candidate human CM genes (329 proteins) identified by this procedure to represent useful leads for CM function, worthwhile to follow up by experimental analyses.
GeneTrack applies a Gaussian smoothing procedure to represent the read densities along the chromosomes.
It then proposes a procedure to represent the type-intensity distribution of a given subject pool graphically.
