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This drawback is compounded for importance sampling methods, since the number of required samples increases exponentially with the problem dimension.
The idea is to introduce sampling schemes with low number of required samples which uniquely represent the original sparse signal; these methods have lower computational complexities than the traditional techniques that employ oversampling and then apply compression.
Access to blood test results also lets Romain see if any tests are still to be taken and, if so, take the required samples immediately.
The required samples are prepared from an undisturbed outcrop block of Ghom formation.
Small scale heterogeneity was at such a level that paired sampling did not significantly reduce the number of required samples.
This contribution significantly improves the existing results by reducing the number of required samples in the randomized algorithm.
The proposed approach outperforms state-of-the-art both in terms of the number of required samples for convergence, and in terms of the beamformer output SINR.
For the problems considered in the current study, for the same accuracy, the number of required samples for the sparse PC representation is significantly reduced.
Clear disadvantages of the sampling-based approach are the natural processing penalty imposed by a larger dataset and the difficulty of estimating the minimum number of required samples.
As unsteady high-fidelity CFD simulations are becoming the standard for industrial applications, reducing the number of required samples to perform sensitivity (SA) and uncertainty quantification (UQ) analysis is an actual engineering challenge.
The maximum number of required samples, to estimate the areal mean soil moisture within an accuracy of 2% vol/vol, was found ranging between 7 and 11 at the field scale and equal to 20 at the catchment scale.
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CEO of Professional Science Editing for Scientists @ prosciediting.com