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PM concentration measured gravimetrically has substantially less measurement error but, by definition, measures the average concentration for the whole measurement period.
Furthermore, the longitudinal design allowed us to use multiple predictors of SEP over the life course, which would be expected to be associated with less measurement error than using single measures.
However, our decision to include BMI in our analyses was pragmatic, given that it is frequently measured and understood, subject to less measurement error than waist and other circumferences and is the subject of numerous national and international guidelines and definitions of obesity.
HbA1c is a relatively long-term measure of hyperglycemia that is subject to less measurement error compared with other biomarkers of glycemia (34).
Convex optimization algorithms have fairly high reconstruction accuracy and less measurement, but the complicated reconstruction process affects its practicability.
Overall, the Radon-like CS scheme allows sensing and reconstructing of a spatially sparse field with far less measurement w.r.t.
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Or did it have to wait a little longer, for some better qualified system … with a Ph.D.? If the theory is to apply to anything but highly idealized laboratory operations, are we not obliged to admit that more or less "measurement-like" processes are going on more or less all the time, more or less everywhere.
With less measurements (high sub-sampling factor), the performance of the OC-based RIR reconstruction degrades which eventually results in increased MSE in TDE.
Compressive Sensing (CS) allows for reconstructing sparse signals within a low acceptable error using less measurements than stipulated by the Nyquist criterion.
That is to say, less measurements can be used to detect the target in the system, since a kind of diversity gain is achieved at the output of the matched filters on the receiving sensors.
The resulting control strategy shows robustness and performance properties similar to more computationally demanding strategies (such as a multivariable nonlinear MPC strategy), while requiring less measurements and involving an easier implementation.
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