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The remarkable filtering effectiveness is based on the foundation of linearity unbiased estimation, which results in time-windowing processing in the time domain (Lin et al. 2011).
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Evaluation of the filtering effectiveness was accomplished by comparing the number of credentialed features found in unlabeled and labeled extracts.
Despite the exponential increase in software filter usage, its effectiveness is not clear.
Evaluating their effectiveness is tricky.
Effectiveness is often smaller than efficacy.
What evidence of their effectiveness is there?
Their effectiveness is also questionable.
The degree of effectiveness is very high.
Filter performance and tuning approach effectiveness are successfully verified using freely available GPS flight data of Gravity Recovery and Climate Experiment mission.
Moreover, the H∞ filter design condition is further presented via convex optimizations, whose effectiveness are also illustrated via numerical examples.
Knockdown effectiveness was confirmed with qPCR.
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