![]() ![]() This paper introduces a new approach to Maximum Entropy based on the constrained minimization of a convex functional. However, this code relies on a non-convex formulation of the constrained optimization problem addressed by the Maximum Entropy approach, and this sometimes results in unreliable reconstructions characterized by unphysical shrinking effects. Although widely used in image deconvolution, this method has been formulated in radio astronomy for the analysis of observations in the spatial frequency domain, and an Interactive Data Language code has been implemented for image reconstruction from solar X-ray Fourier data. This improves the echo cancelling performance of Rally Mic Pods, while ensuring that video images remain clear and steady, even at high volume levels and when zoomed in.Maximum Entropy is an image reconstruction method conceived to image a sparsely occupied field of view, therefore it is particularly effective at achieving super-resolution effects. Supports up to 56 acoustic beams (8 per Rally Mic Pod) to lock onto the active talkerīeam focus refresh rate: 8ms (125 times/second)Ī patent-pending suspension system decouples the speaker module within the external enclosure, virtually eliminating the vibrations that can travel through walls, stands, and tables. Very low distortion broadside beamforming algorithm steers the factory-paired microphones directly at the talker for the best voice pickup and noise reduction Machine learning AI trained to distinguish human speech from other sounds ![]() Please see RightSight Availability for details.Īuto-reframe participants during meetings Reduces backlighting and glare without darkening the entire image. ![]() Renders natural skin tones for each participant on camera ![]()
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