{"586093":{"#nid":"586093","#data":{"type":"news","title":"Paper Published in the Journal, Scientific Reports, Co-authored by Faculty and PhD Students from Georgia Tech-Lorraine and Centrale-Sup\u00e9lec","body":[{"value":"\u003Cp\u003EDr. Alexandre Locquet of Georgia Tech-Lorraine, and Dr. David Citrin of Georgia Tech\/Georgia Tech-Lorraine,\u0026nbsp;co-authored\u0026nbsp;with Dr. Damien Rontani of\u0026nbsp;Centrale-Sup\u0026eacute;lec, and with\u0026nbsp;PhD students Daeyoung Choi\u0026nbsp;(ECE) and C.-Y. Chang (Physics),\u0026nbsp;a\u0026nbsp;paper in \u003Cem\u003EScientific Reports\u003C\/em\u003E (Nature Publishing Group), entitled, \u0026quot;Compressive Sensing with Optical Chaos.\u0026quot;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECompressive sensing was devised to sample a sparse signal below the\u0026nbsp;Nyquist-Shannon limit, but nonetheless to permit its faithful\u0026nbsp;reconstruction, and thus to store and transmit sparse signals in a very efficient fashion.\u0026nbsp;Compressive sensing relies on having at hand large\u0026nbsp;strings of random (or sufficiently random-looking) numbers to populate the\u0026nbsp;compression matrix needed to compress the data. Such strings of\u0026nbsp;pseudo-random numbers are typically generated on a digital computer.\u0026nbsp;Nevertheless, for the ultimate in high speed and simplicity, it is\u0026nbsp;desirable to generate the string of random-like numbers, and ultimately\u0026nbsp;carry out the compression itself, not only at speeds not readily attained\u003Cbr \/\u003E\r\non a conventional computer, but also physically. The authors have used a chaotic optical signal\u0026nbsp;produced by an external-cavity semiconductor laser to generate\u0026nbsp;sufficiently random-like numbers at very high rate, based on the sub-100\u0026nbsp;picosecond timescale determining the dynamics of the laser.\u0026nbsp; The team\u0026nbsp;demonstrated efficient compression flowed by high-fidelity reconstruction\u0026nbsp;of images using this technique.\u0026nbsp;According to Citrin, \u0026quot;This work is\u0026nbsp;exciting as it opens the way to ultrahigh-speed compression of sparse\u0026nbsp;signals--and we hope soon in a way to be carried out in the physical\u0026nbsp;layer.\u0026quot;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"This paper demonstrates how chaotic light from a laser can be used to compress data at high bit-rates."}],"uid":"28490","created_gmt":"2017-01-18 14:53:54","changed_gmt":"2017-01-18 14:56:29","author":"Andrea Gappell","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2017-01-18T00:00:00-05:00","iso_date":"2017-01-18T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"586089":{"id":"586089","type":"image","title":"Chaotic patterns are used to generate random numbers ","body":null,"created":"1484748738","gmt_created":"2017-01-18 14:12:18","changed":"1484749253","gmt_changed":"2017-01-18 14:20:53","alt":"Chaotic patterns are used to generate random numbers","file":{"fid":"223381","name":"AL-Picture1.jpeg","image_path":"\/sites\/default\/files\/images\/AL-Picture1.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/AL-Picture1.jpeg","mime":"image\/jpeg","size":245964,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/AL-Picture1.jpeg?itok=ZYkklXZP"}}},"media_ids":["586089"],"related_links":[{"url":"http:\/\/www.nature.com\/articles\/srep35206","title":"Compressive Sensing with Optical Chaos"}],"groups":[{"id":"54809","name":"Georgia Tech-Europe (GTE)"}],"categories":[{"id":"129","name":"Institute and Campus"}],"keywords":[{"id":"173231","name":"Dr. Alexandre Locquet"},{"id":"173232","name":"Dr. David Citrin"},{"id":"13161","name":"Georgia Tech-Lorraine"},{"id":"173235","name":"compressive sensing"},{"id":"10652","name":"lasers"},{"id":"2290","name":"photonics"},{"id":"29581","name":"chaos"},{"id":"173236","name":"random numbers"},{"id":"173245","name":"published paper"},{"id":"17181","name":"PhD Students"},{"id":"173237","name":"Daeyoung Choi\u00a0(ECE)"},{"id":"173238","name":"C.-Y. Chang (Physics)"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EAndrea Gappell, Marketing and Communications Manager\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["andrea.gappell@gtl.gatech.edu"],"slides":[],"orientation":[],"userdata":""}}}