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The Rx antennas were fixed on an automatic positioner to create a virtual planar array of antennas.
Different algorithms were proposed to address this issue, e.g., a spatial smoothing technique in [21] and an iterative 2D Unitary ESPRIT method in [23] for virtual planar arrays.
For the active and passive viewing of virtual planar surfaces, the observers' judgments of slant complied with this prediction (see Figure 6).
The empirical data from the active and passive viewing of virtual planar surfaces, conversely, are consistent with the Bayesian estimates computed without considering head velocity information (Eq. 15, Figures 9).
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2-level virtual uniform planar array.
At each measurement location, a 2-level virtual uniform planar array (2L-VUPA) was realized using an automatic positioning device, yielding a 10 × 10 × 2 virtual array.
Active and passive observers judged the perceived slants of virtual or physical planar surfaces.
The empirical data were obtained by asking observers to judge the local slant of virtual and physical planar surfaces from the optic flows generated by normal or slower head translation velocities.
We focus on a simple approach of compressing the planar oriented virtual geometry of paper-type gas diffusion layer from Toray.
A desired path is obtained using computer vision, and virtual fixtures for assistance in planar path following were implemented on an admittance-controlled robot.
Topics covered include kinematics, force-momentum formulation for systems of particles and rigid bodies in planar motion, work-energy concepts, virtual displacements and virtual work.
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