Sentence examples for estimate of position from inspiring English sources

Many computers apply the technique called Kalman filtering, which weights each of the several supplied data according to its expected quality and uses previous position and velocity solutions in determining the current best estimate of position and other desired quantities.

It then combines this latest estimate with the history of coordinate values from preceding frames, through double exponential smoothing, to derive the best estimate of position and vector velocity.

But to these two steps we should perhaps add a third, in which directional information is used to maintain a heading that has been set, without updating that course on the basis of some updated estimate of position relative to home.

Additional features of the profile are evident from an alternative estimate of position using a weighted kernel density calculation (still subject to local MNase preference uncertainty) that gave a preferred dyad position at base pair 2250 (Methods; see Additional file 1, Figure S2b), within 8 bp of the in vitro 601 dyad.

The observer provides estimates of position, velocity, chamber pressures, friction state and parameters, and clutch load characteristic parameters.

To obtain the best estimates of Position, Velocity and Attitude (PVA), different sensor combinations are analysed and dynamic Boolean Decision Logics (BDL) are implemented for data selection before the centralised data fusion is accomplished.

The results show that when using only additive effects there was little loss in power to detect QTL and estimates of position, using or not using dominance, were empirically unbiased.

"The accuracy of the estimates of positions on potential issues that each justice has about the other eight justices will differ significantly on a court in flux than a court in stasis," Professor Merrill said.

However, without accuracy meteorological information, the quality of the Zenith Tropospheric Delay (ZTD) derived from empirical tropospheric models like Saastamoinen model will degrade, leading to inaccurate estimates of positions.

While the causal inference model accounts for the cue combination data described above, it makes a prediction that goes beyond the estimates of positions.

While the robot rotates, we monitor its tachometer as an accurate estimate of its position and compare it with target bar position.