Sentence examples for estimates of the source from inspiring English sources

In this example, we choose to work with data contained in the Master Sources Table since it records the best estimates of the source properties derived from the individual observations of a source.

We see clearly the differences in equatorial coordinates and flux significance between the source observation and master source properties, with the master source properties representing the best estimates of the source properties derived from a set of corresponding source observations, and in this case, across all science energy bands.

The results show that, in the presence of more than one source, the beamformer cannot yield reliable estimates of the source strength of individual sources since the output from the beamformer is shown to be dependent upon the degree of correlation between multiple sources as well as the source strengths themselves.

Thus, ESPRIT can be applied to find the estimates of the source DOAs.

Equalization and decoding are performed simultaneously, producing LLR estimates of the source information at the output.

Specifically, the scatterplot in Fig. 6 a shows estimates of the source locations, whilst Fig. 6 b indicates the estimated activation times at convergence.

Besides, the destination applies the Expectation-Maximization algorithm to improve the estimates of the source-destination and relay-destination channels.

Further, the destination applies the expectation maximization (EM) algorithm to improve the estimates of the source-destination and relay-destination channels.

It is assumed that the estimates of the source-relay, relay-destination, and source-destination channels are available instead of their exact knowledge.

To compute the estimates of the sources, a minimum norm solution with the LAURA (local autoregressive average) constraint [ 26] was employed.

This is true of any method of calculating reliability based on algebraically manipulating mean squares in order to obtain unbiased estimates of the sources of variance in the ratings.