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The well logs were broken down into high and low frequency data using WT.
Moreover, the principal components behave as scalar autoregressions with heteroskedastic innovations; this supports semiparametric identification of a multivariate reversible diffusion process and tests of the overidentifying restrictions implied by such a process from low frequency data.
By considering the differences between high and low frequency data to be based on differences in inter-sheet and inter-particle water, however, this discrepancy is explained.
Measuring low frequency data using conventional methods has presented problems in some systems with the values of key parameters often being obtained by extrapolation.
Sample experimental data is validated using the Kramers-Kronig transform and a consistency test involving the voltammogram slope and the low frequency data.
The deep resistive layer is indicated by lower phases within the low frequency data.
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While redundancy in the 5 SNPs may be apparent from Figure 1, all 5 SNPs are retained in this study in order to (1) distinguish the major haplotypes from minor haplotypes with low frequencies (data not shown) and (2) retain the haplotype terminology of the previous reports [12], [13], [15].
Numerical results show that the newly designed causal filter enables to recover long-wavelength structures using low-frequency data components synthesized by damping wavefields in frequency-domain FWI, and the proposed weighting technique enhances the inversion results.
By applying a metaheuristics fuzzy model in a low-frequency data for household electricity demand forecasting, results suggested that the proposed GPU learning strategy is scalable as the number of training rounds increases.
Also we modify the conventional weighting technique so that its optimization formula is directly derived from the objective function, retaining its original characteristic of emphasizing the low-frequency data components.
The application of wavefield-damping method on filtered data fails to synthesize reliable low-frequency data; the optimization formula obtained introducing the weighting technique is not theoretically complete, because it is not directly derived from the objective function.
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