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Prof. Al Bovik's VIF Picture Quality Measurement Tool Built as Core of Netflix's Video Quality System

Oct. 10, 2017
Texas ECE Professor Al Bovik’s neuroscience-based Visual Information Fidelity (VIF) picture quality measurement tool has been built into the core of Netflix’s quality system which controls the quality of every video streamed by Netflix to all customers world-wide. VIF is a full reference image quality assessment index that is based on natural scene statistics, and on a model of the type of image information that is extracted by the human visual system. It was developed by Prof.
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Prof. Robert Heath Awarded NSF Grant for ADCs Research

Aug. 4, 2015
As communication systems embrace ever wider bandwidths and the FCC seeks to codify next-generation standards, Analog-to-Digital-Converters (ADCs) struggle to meet rate, resolution and power requirements for these systems. The massive antenna arrays under consideration for next-generation wireless, which include tens or even hundreds of receiver channels, only exacerbate the problem.