Sentence examples for modeling the channel from inspiring English sources

The results are then extended to the Gaussian cases, modeling the channel states as additive Gaussian interferences.

Further, we investigate the Gaussian state-dependent relay channel with orthogonal components, modeling the channel states as additive Gaussian interferences.

We adopt two frequency selective channel models for modeling the channel between each pair of transmit and receive antennas.

In this work, rather than modeling the channel directly, we use PDRs to estimate the channel qualities.

Empirical models are created by analyzing measurements obtained when transmitting over a real environment and then modeling the channel characteristics.

The last components remaining from (7) are the random variables modeling the channel envelop and their ratios.

Crystal structures of two Sec61 homologues were used to model the channel.

Here, we model the channel efficiency with these basic steps.

We model the channel errors through Bit Error Rate (ber).

Given the channel transmission range classification, we can model the channel heterogeneity.

We use the Markov chain to model the channel state switching (see Figure 2).