Sentence examples for spurious speed from inspiring English sources

Open image in new window Fig. 1 Spurious speed signal example.

A dataset-specific problem was the presence of spurious speed signals, which typically occurred at stations or sidings where trains reversed, changed drivers, or in the depot.

The spurious speed signal means the algorithm creates an extra segment, and so the duration/dwell time and total energy consumption of the previous segment are no longer accurate and must be corrected.

In this case, removing the spurious speed signals illustrated in Fig. 1 was the most important part of the filtering algorithm that made manual checking of the complete dataset possible.

The initial extraction algorithm was modified in an attempt to filter out the spurious speed signals described above, with four criteria for the start of a new segment: The speed in the previous row is equal to zero (as before).

The statistical average of this method corrects the spurious shock speed, as will be proved with a scalar model problem and demonstrated by a wide range of numerical examples in inviscid detonation waves in both one and two space dimensions.

The spurious velocity was reduced by reducing the pseudo-sound speed by the use of suitable parameters.

Opponents say that by giving development plans green credentials that may be spurious, offsetting speeds up planning approvals in practice, and limits natural environments for flora and fauna in absolute terms.

An important step in the application of PIV to our data was the rejection of spurious individual velocity measurements, based on presumed physiological constraints on erythrocyte speed and the direction of flow.

Using the normalized slope allowed us to focus on areas associated with the abnormal word length effect that defines pure alexia, while avoiding potential spurious correlations between overall reading speed and lesion size.

The values of X and Y were set to 5 rows and 5 km/h, respectively, based on the duration and maximum speeds of the spurious profiles found while examining the results from the initial extraction/classification algorithm (such as the profile illustrated in Fig. 1).