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Firstly, we denote the measured distance difference between a direct path and a re-transmitted path as r_{i} = d_{i} + n_{i}, :: i = 2, 3, ldots, M, (2).
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Beside the analysis of the residuals of the 3D spatial transformation, the analysis of the true and the measured distance differences is also performed.
Measured step length (the measured distance between successive locations) was also calculated.
The next step was also the same: a pre-processor to filter out segment identities where the difference between the reference and measured distance was not within a threshold.
So, many efforts have been made to estimate the Euclidean distance d from the measured distance ( {widehat{d}}_{mathrm{NLOS}} ) in order to reduce the difference between them [7].
In this work, we use the Kolmogorov Smirnov distance to assess how significantly different the distribution of the measured distance sequence and the reference distribution are.
Studies have used different cut-off values of the measured distance to the mesorectal fascia to predict CRM status.
I would bet that a subtle error in the measured distance or time is more likely than that their ratio – the inferred speed – exceeds Einstein's speed limit.
At low velocity, the measured distance is larger than the actual distance, while the measured distance is smaller than the actual distance at high velocity.
We still use the measured distance in NLOS condition as the distance parameters of LS algorithm.
When only zero-mean noise is added to the measured distance, the expected value of the measured distance is equal to the true distance.
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CEO of Professional Science Editing for Scientists @ prosciediting.com