Sentence examples for models of interference from inspiring English sources

Usually, statistical models of interference and targets are assumed and their parameters are estimated using the available data.

Many of these are model-based approaches, which rely on theoretical or empirical assumptions and models of interference distributions.

McPeek and Speed (1995) fit various data sets to different models of interference, and found that the Erlang models do as good a job fitting the data as any of the others.

Protocol and physical models of interference are well-known interference models [1] that have been used frequently in literature for capacity estimation as well as MAC protocols and channel assignment research.

Other models of interference have been proposed that more precisely define the idea of an item's strength in memory through separating the strength of item itself in memory and the contextual information it is linked to.

Despite numerous physical and formal models of interference and corresponding statistical tools to analyze experimental data on interference, only one attempt has been undertaken to explain interference as an evolvable feature [ 61].

Examples are shown for positive (cooperative) interference effects, for better experimental design and interpretation of binary isotherm measurements and for establishing the chemical model of interference from selectivity measurements.

A statistical model of interference aggregation in spectrum-sensing cognitive radio networks was developed in [5].

In this section, we will develop a statistical model of interference aggregation caused by the SUs.

However, from the theoretical point of view, a typical modeling of interference is to regard the noise plus interference as a complex Gaussian random variable [7].

Then, we introduce the deterministic model of interference channel, in which each link is modeled in the same way as in point-to-point channel.