Sentence examples for metric that characterizes from inspiring English sources

It is an important analytical metric that characterizes the probability of data loss providing a bound on the symbol error rate or equivalently of deep fading.

With the weighted two-point correlation functions, we can define a quantitative metric that characterizes the clustered increase of activity in different regions or in the whole brain.

Cooperative routing for distributed detection in large sensor networks is studied in [20] using a link metric that characterizes the detection error exponent.

Intrinsic delay time τ s is also an important performance metric that characterizes the limitations on switching speed and AC operation of a transistor.

In Section 3, we present a new routing metric that characterizes the dynamic impact of jammer on network, as well as provide simulation studies of the effectiveness of our metric.

Furthermore, it can be introduced as a useful alternative metric that characterizes the traffic-carrying capabilities of wireless networks with non-stationary and non-ergodic channel variations, where the commonly used performance criteria of stable throughput and network capacity are not well defined.

One of the challenges associated with quantifying and then managing sustainable fisheries is the development of a meaningful metric that accurately characterizes fishing pressure across many fishing sectors at national and regional scales.

Linear discriminant analysis was performed to delineate fragmented woodland structures and identify metric variables that characterize woodland spatial configuration.

After briefly revising the theory concerning the measurement of colorimetric properties, a design of experiments is proposed and the derived experimental data are analyzed according to suitable statistical methods in order to generate a robust metric that can reliably characterize the color of a test probe independently of the texture exhibited by its surface.

We introduce a general validation metric that can be used to characterize the disagreement between the quantitative predictions from a model and relevant empirical data when either or both predictions and data are expressed as probability distributions.

The final result is characterized by a cost metric that can be used for decision-making possibly resulting in revisions of procedures, or task modifications.