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But our "credible regions" have an unusual shape: the "error contours" include two spatial dimensions and one intensity dimension, in one example.
The subfigures (a) to (d) represent the RMS error contours for each of the four methods.
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The error contour is 5 cm.
The error contour is 5 m.
The slip contour is 2.0 cm, and the error contour is 1.5 cm.
Figure 1 indicates the standard error contour plot of the experimental design which displays Bi2O3 versus TiO2 molar ratio.
Evident in larger area of RMS error contour below 0.2 m multi- and Hamacher-PHAT increase the performance both in noisy and reverberant environments compared to SRP- and MCCC-PHAT.
Intuitively, for a distant source, lower height increases the error two ways: the source is increasingly off-boresight which reduces the effective aperture size, i.e., the sin dependence seen in (3.13), and simultaneously, the error contour expands like a "lengthening shadow" when projected to the ground plane.
To reduce contour error in contour-following tasks, a common approach is to design a controller based on the contour error information.
It proposes an integral design method including contour error model, contour control effort distribution and the CCC algorithm.
The experimental results show that the new hybrid structure reduces remarkably the tracking error and contour error.
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