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It increases the correlation and decreases the error between the received and the original signals.
The increase in the number of repetitions decreases the error variance of the estimate.
It can be observed that while the magnitude of the noise decreases, the error is also decreased.
The proposed consistency term does not increase the computation time and further decreases the error by 10%.
This greatly decreases the error of localization specially when exploring a large area (more details are given in Section 5.2).
Estimating the pitch range in small time-intervals (for example 200 ms) decreases the error in the pitch range estimation method.
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Second, Wiener smoothing over frequency decreases the errors.
Merging of short-insert libraries considerably decreases the error-rate and also generates sequences that reflect the original molecule length (Kircher, 2012).
The optimisation approach decreased the error rate for the neural network models.
The CTF correction and 3D reconstruction accomplished in one step made it easy to combine different defocus data sets and decrease the error accumulation in the computation.
In addition a decrease in κc/κs and/or a2/Rt will decrease the error in κc, but increase that in κs.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com