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$$\:\begin{array}{c}I\left(x,y\right)={\left|{\mathcal{F}}^{-1}\left\{\stackrel{\sim}{O}\left(\nu\:,\theta\:\right)P\left(\nu\:,\theta\:\right)\right\}\right|}^{2}\end{array}$$ (4) If the object function \(\:O\left(x,y\right)\) is rotated in-plane by...
as the average of the perturbation patterns weighted by the number of spikes they evoked. This estimation is similar to a classical Spike Triggered Average (STA)4, but here the checkerboard patterns have a small amplitude and thus explore a small, local region ...
DirectionSegmenter(lambda_pred=1, lambda_dir=2000, radius=20, delta_theta=math.pi / 16) # let images be a (batch_size, W, H) numpy-array of np.int32 images = segmenter(images) Note that the underlying library is only built for specific input types, namely 32- or 64-bit floating ...
$$\delta y = R\uptheta$$ (1) where ‘R’ is the range, and ‘θ’ the aperture of horizontal beam. This tend to result in degrading of side scan images at longer range. 2.2 Need for resolution The query of resolution has been raised again by the invention of very highly resolved...
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where \({I}_0\) is the background, A the amplitude, \({x}_0, {y}_0\) the center positions, \(\sigma _x, \sigma _y\) the standard deviations, and \(\theta\) the rotation. The background \(I_0\) is set to the minimum intensity value of the region around the atomic colu...
Along_velocity{k} = - (Line_U_comp{k}.*sind(theta)+Line_V_comp{k}.*cosd(theta)); else Across_velocity{k} = Line_U_comp{k}.*cosd(theta)-Line_V_comp{k}.*sind(theta); Along_velocity{k} = Line_U_comp{k}.*sind(theta)+Line_V_comp{k}.*cosd(th...
where {I}_0 is the background, A the amplitude, {x}_0, {y}_0 the center positions, \sigma _x, \sigma _y the standard deviations, and \theta the rotation. The background I_0 is set to the minimum intensity value of the region around the atomic column. This way of setting the...