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‘Warping’ Compresses Big Data

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A physics-based data compression method outperforms existing technologies, such as JPEG, for images and could eventually be adopted for the capture and analysis of massive amounts of data in real time for communication, scientific research and medicine. The entirely new way to compress data was developed by a team at the University of California, Los Angeles, Henry Samueli School of Engineering and Applied Science led by Bahram Jalali, the Northrop Grumman Opto-Electronic Chair in Electrical Engineering. UCLA researchers compressed data using 'warping.' The group discovered...Read full article

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    Published: December 2013
    Americasanamorphic stretch transformASTBahram Jalalibig dataCommunicationsimage compressionJPEGoptical rogue wavesOpticsResearch & TechnologyTech PulseTest & Measurementtime stretch dispersive Fourier transformUCLA

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