Sentence examples for Probabilistic spectrum from inspiring English sources

Rather, it all exists along a probabilistic spectrum, with a candidate's chance of winning primarily a function of the size of his lead, the time remaining until Election Day and the number of undecideds left in the electorate.

Because our forecasts are made on a probabilistic spectrum, we do not place a major emphasis on the idea of "calling" states, but Mr. Romney's probability of winning Florida crossed the 50 percent threshold earlier this week.

The main reason for this performance gap is that the decentralized approach achieves probabilistic spectrum sharing control.

The centralized scheme achieves the highest cell capacity and utility performance, and our probabilistic spectrum allocation and partitioning schemes are comparable to the centralized one.

Finally, we use packet-level simulations to demonstrate that RAP-MAC probabilistic spectrum management achieves up to 138% higher goodput compared to greedy spectrum management depending on the CRN traffic demand.

The proposed framework (i) randomly explores individual spectrum bands as local interference measurements lead to inaccurate spectrum access decisions and (ii) adopts a non-greedy probabilistic spectrum access policy that prevents a single cognitive transmission from monopolizing an available spectral opportunity.

Were the neural networks to be useful to such a mapping, they could in principle be employed for several purposes, such as soil identification using instrumental data, design of early warning systems and estimation of probabilistic spectra via Monte Carlo simulation, in which the ANN act as an efficient solver surrogate.

This paper first proposes a probabilistic design spectrum which includes as input, in addition to common design parameters, the probability that the design acceleration is exceeded.

First, we propose the rate-adaptive probabilistic (RAP) spectrum management framework and its medium access control protocol realization (RAP-MAC).

Careful analyses of probabilistic response spectra together with geological structural analysis resulting in new hydraulic calibration parameters of fracture network models under variable flow rate can only be performed in a 3D environment where processes are monitored in space and time.

Conversely, where peptide identification from MS and MS/MS spectra involves generating in silico model MS/MS spectra from peptide sequences and then matching the model spectra to the observed spectra, probabilistic detection can fail where the permissive metric detection will not.