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However, without properly adopting WF-LS with higher orders, there will be no performance improvement.
It will be relevant to go on this study with higher orders.
Then the quadrature formulas with higher orders of accuracy can be achieved by a Romberg extrapolation.
Hierarchical honeycombs with higher orders are constructed by repeating this process.
The polynomial regression models with higher orders (n = 3 and 4) give the best data fitting.
In what follows we will investigate the asymptotical behavior of WF-LS with higher orders and show that WF-LS with higher orders can indeed be "degraded" into WF-LS with orders 2 if not carefully designed.
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Each successive stage of processing encodes increasingly complex features, with higher order visual regions encoding complex features such as object categories.
In experiments with higher order modes as e.g. TEM01 [21] this analogy could be observed indirectly, too.
Performance of the Gaussian approximated system shows slightly worst error floors with higher order modulations.
Therefore, to study the qualitative properties of nonlinear difference equations with higher order is theoretically meaningful.
In Figure 10 we have shown the performance with higher order modulations.
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