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Each subreflector is placed at a random depth from the baseline smooth wall.
An optical model was brought forward to describe the solar radiance distribution at a random depth and θ.
Half of the individual DTs are built to the maximum depth by only selecting recursive rules until a non-recursive rule must be chosen to complete the tree and half are generated to a random depth no greater than the maximum by selecting any rule that can fit in the remaining depth of the tree [ 16, 27].
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The standard deviation of the random depths of the craters for each subreflector was chosen to be the roughness percentage w.r.t the operating wavelength.
The statistical means of the random depths of the craters were assumed to be identical to the baseline smooth values, as if, the walls were smooth.
The spatial correlation of the random depths of the subreflectors are assumed to follow an exponential model with parameter η for walls-1,2,3.
The random depths are chosen from a Gaussian distribution with the means corresponding to the locations of the baseline smooth walls, and the standard deviation as a percentage of the operating wavelength [5].
In the Gulf of Lions (northwest Mediterranean), similar patterns were observed in the vast majority of 76 images taken at random at depths between 35 and 88 m in four different areas.
Cortical neurons were usually searched for by monitoring resistance increase during current pulse application and at random cortical depths (Bruno and Sakmann 2006; de Kock et al. 2007).
Although the results showed that the distribution was very homogeneous, some differences in coverage were observed mainly in regions flanking the coding candidate regions (low coverage regions), where small and random differences in depth value may produce bigger differences in the index value.
The whole relations returned by random walk with depth 6 are shown in Figure 5.
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