Sentence examples for mean phase errors from inspiring English sources

(B) Plot of figure-of-merit-weighted (FOM) mean phase errors (wMPE) calculated relative to the subsequently refined structure for the various steps of phase improvement.

The SDs of radial and tangential errors, mean phase error, angular smooth pursuit gain, and RMS errors were computed from the combination of the two test trials included in each test sequence.

Combining the auto-built model phases with density-modified phases resulted in a sudden increase in the mean phase error to ~70°.

A single run of traditional density modification procedure, including solvent flattening, histogram matching, and two-fold NCS averaging resulted in the phases with a figure-of-merit (FOM) weighted mean phase error of ~63° (Fig. 2B: Cycle 1).

The mean phase error in the final cycle dropped to ~45° (Fig. 2B: Cycle 4), with a correlation coefficient of 0.77 (Fig. S1), which is sufficient for automatic model building and structure refinement.

The FOM-weighted mean phase error relative to the final refined model was 23.4°.

All measurements except those for mean phase error have positive values.

Mean phase error, on the other hand, is an indicator of overall temporal accuracy.

In a highly predictable circular tracking task, tangential error variability and mean phase error point to the individual's ability to sustain the state of synchronization between the external stimulus and the internally generated predictive drive.

The values for the mean phase error parameter was first offset by a constant value obtained by doubling the minimum (negative) value before the application of the Box Cox transformation.

Therefore, although smooth pursuit gains and RMS positional errors are good measures for characterizing the overall accuracy of matching the gaze velocity or position to the target, the SD of positional errors in the tangential direction and mean phase error are better suited for characterizing the temporal dynamics of visuomotor synchronization.