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The approximated pollutant concentrations over 5 monitoring nodes, when the third zonal removal mechanism systems are activated and the eastern exit gate is opened, are shown in Figure 13.
The approximated pollutant concentration levels with the contaminant removal mechanism system are shown in Figure 6.
If the eastern exit gate is opened or shut on different periods of time such as 0-100 min, 33-100 min, and 66-100 min, the approximated pollutant concentrations over 5 monitoring nodes are shown in Figure 13.
If we consider the approximated pollutant concentrations along the eastern exit gate, when the the eastern exit gate is opened or shut on the difference periods of time as shown in Figure 14, we can also see that the long opened exit gate period (0-100 min) gives the better monitored water quality than another periods as well.
The resynthesized time-domain signal is the proposed approximated speech feature contour.
Taking log energy feature, for example, Figures 3, 4, and 5 exemplify the approximated log energy contours of an angry, a bored, and a sad speech utterances, respectively.
Approximated Speech Feature Contours with Principal Component Analysis.
To generate the PCA bases of approximated speech feature contours, a training speech database is required so that eigenvectors of the approximated speech feature contours can be found.
In the typical case, we have s(t) = [a.sub.1] + [a.sub.2]t + [a.sub.3][t.sup.2] and we have verified that s(t) is not approximated well by a constant nor by a straight line.
As it happens, all the examples of the prolog are approximated using only one array function evaluation.

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