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Second, Wiener smoothing over frequency decreases the errors.
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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.
One of them is the gradient projection method, which, starting from a feasible point, moves in a direction which decreases the error criterion and satisfies the above constraints.
This addition decreases the error associated with the measurements.
However, it should also be noted that when the E2-F tracer concentration decreases, the error bars increase, which means that the S/N ratios become worse.
Merging of short-insert libraries considerably decreases the error-rate and also generates sequences that reflect the original molecule length (Kircher, 2012).
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