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In Fig. 2, it is not difficult to find out that the distributions of speech and non-speech are more easily separated along with the increasing window length M. In corroboration, the speech classification error is reduced when increasing the order of the long-term window, as shown in Fig. 4.
By increasing the order of the basic elliptic filter, the transition region can be significantly reduced.
Furthermore, with increasing the order of accuracy of approximation less number of reinitializations is needed.
Moreover, the method can be modified by adding similar steps, increasing the order of convergence three times per step added.
By increasing the order of the parity space, which is a tuning parameter of the proposed algorithm, the influence of measurement noise can be reduced.
k-refined quadratic NURBS element provide stabilized response to distorted, coarse meshes without increasing the order of the polynomial, owing to the increased smoothness of solution space.
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We then design a Richardson extrapolation scheme to increase the order of convergence in time direction.
A similar strategy is introduced to increase the order of accuracy of the viscous terms.
We show numerically that the IDC procedure can automatically increase the order of accuracy in time.
Across 3 conditions, portion sizes in the set were increased; the order of the conditions was counterbalanced across subjects.
An increase in the number of steps increases the order of reaction, as expected.
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