Sentence examples for behavior of the gain from inspiring English sources

The behavior of the gain parameters has been depicted in various maps, each one defined for different base accelerations.

However, behavior of the gain drifts for SiPM photodetectors at the system level is not yet published.

We observed that the plasmonic effect of Au@AgNRs have significantly improved the lasing behavior of the gain medium and showed the best property in comparison of AuNPs and AuNRs.

Let us denote by Gc,j the path gain between cell c and user j, reflecting the long-time behavior of the channel gain.

New files are expected to be added approximately annually in teh future, depending on the behavior of the instrument gain.

The behavior of these models has been traditionally considered on a deterministic continuous-time (DCT) formulation whose validity is justified under some hypotheses on the specific asymptotic behavior of the learning gain.

This paper addresses a comparative study with a deterministic discrete-time (DDT) formulation that characterizes the average evolution of the net, preserving the discrete-time form of the original network and gathering a more realistic behavior of the learning gain.

A new method to handle the unknown time-varying behavior of the control gain is developed; with this method it is assured that the output tracks the desired reference with a user-defined tolerance and parameter drifting is avoided.

Rather than using experimental values, we here take advantage of the behavior of the proposed gain function in (21) with respect to the shape parameter c and propose an adaptive scheme for the determination of this parameter.

In the paper, h ij (k) is modeled as ( h_{ij} left (k right) buildrel Delta over = {{g_{ij}} left / {sqrt {d_{ij}^{alpha }} }right.}), where d ij and g ij represent the distance and the large-scale behavior of the path gain between nodes N i and N j, respectively, and α is the corresponding path-loss coefficient [12, 17].

The mean m μ ̂ ( t ) of the stochastic process μ ̂ ( t ) is still given by (18) since the behavior of the random gains c n has no effect on the mean in (18).