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As GNSS signals are below the noise level before the correlation process, spatial processing to mitigate multipath signals is mostly performed after the de-spreading process (i.e., correlation and Doppler removal) (Arribas et al. 2012; Chen et al. 2012).
Unlike other authors, we consider that the correlation process is a common problem for different fields in the industry.
The precise recognition of very small-scale strain concentrations requires enhancement of the correlation process and removal of microscopy imperfections.
The correlation process can be considered as the minimization of the error of the model results with regard to the reference data.
Correlation tests using data with deliberately dropped packets show that the correlation process is resilient under data losses approaching 20% and that the resulting correlation amplitude decreases as 1.2 times the packet-loss rate.
Preservation of the hydrodynamic fatigue distribution from the full wave climate is an important aspect in the wind-wave correlation process which requires an adequate consideration of the dynamics from the offshore wind turbine.
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Here, we review this novel concept and generalize this approach to derive stochastic correlation processes (SCP) from a hyperbolic transformation of the modified Ornstein-Uhlenbeck process.
The algorithm maximizes the absorption capacity of the adsorbent subject to structural feasibility, thermodynamic property correlations, process conditions derived from produced water and mass balance on the adsorption process constraints.
To overcome this deficiency, in traditional VLBI data analysis the standard deviations derived from the VLBI cross-correlation process are inflated.
In some cases, the cross-correlation process gave delays that were obviously wrong.
The de-correlation process is illustrated in Figure 1 and described as follows: Let X represent n × m expression profiles of a gene set with n genes and m samples.
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