Sentence examples for filter benchmarks from inspiring English sources

The experimental setup is described in "Experimental setup" Section, while the other sections present verification results and considerations for digital filter benchmarks, which are all realistic examples extracted from the literature [2, 21, 29, 59].

The final filtering benchmark set contains 474 TMPs, 1422 non-TMPs, altogether 1896 sequences.

This "filtering benchmark set" models the human proteome in the sense that it contains TMPs and globular proteins in the same ratio as was shown earlier by other studies (25 % TMP and 75%% non-TMP).

Here we tested several methods on the filtering benchmark set described in the previous section and the best ones were combined in order to reach an even better accuracy.

Finally, experimental results are shown on an application of recursive least square filter and benchmarks.

In "Strong scaling: comparison with DistArray" section we compare d2o's to DistArray's [7] performance and finally, in section Strong scaling: real-world application speedup the Wiener filter we benchmark d2o's strong-scaling behavior when applied to a real-world application: a Wiener filter signal reconstruction.

On the application, if it involves issues such as compensation, more suitable for the former as a reference, but the latter was not filtered, groups' benchmarks may be more suitable as a general base of community workers noise exposure assessment study.

We propose the use of posterior Cramér Rao lower bound (PCRLB) or mean square error (MSE) inequality as a filtering performance benchmark.

The performance of the proposed algorithm has been compared with that of a classical motor current signature analysis (MCSA) procedure as well as with a benchmark particle filter for fault detection in PMSMs.

Complexes smaller than 3 proteins were filtered out from both benchmarks.

The forecast combinations also present improved empirical evidence, with Kalman Filters outperforming by far its benchmarks.