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The intrinsic uncertainty due to finite data length, colored noise, non-stationary excitations, model order reduction or other operational influences needs to be considered for robust and automated structural health monitoring methods.
Due to finite data samples, even data extension should be implemented in the interpolation procedure on the SP. Phase 3: Apply the inverse procedure to reconstruct the image from the data, using the Peano Hilbert pixel spatial relations to process the 1D IMFs to 2D IMFs, according to the relationship of Phase 1. Figure 2 shows a block diagram of the proposed method explained previously.
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It is scary, of course, to think that the mystery of our identities might be reducible to finite data sequences.
These Bayesian predictions incorporate all uncertainty due to finite sampling of the data and prior uncertainty about the parameters.
While the real underlying complexity of a system (here, a tumor cell population) can be very large, noise in the observed data (due to finite sequencing depth) allows one to reconstruct only some major features of that complexity.
Scaling exponents obtained from data records with N<256 can have relatively large uncertainty in the estimation of α due to finite size effects [25].
Geometric nonlinearity due to finite deformation has also been considered.
This is due to finite size effect.
In practice this is impossible due to finite sampling rates.
Even when weather is ideal, there are still practical range limits due to finite battery capacity which limit deliveries to local distances.
Testing set size variance refers to variability in error estimates due to finite testing dataset size.
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