{"61467":{"#nid":"61467","#data":{"type":"event","title":"CSE Seminar - Dr. Justin Romberg","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003ECompressive Sensing with Applications to Fast Forward Modeling and Acoustic Source Localization\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EIn\n the first part of this talk, we will give an overview of the recently \ndeveloped theory of compressive sampling (CS), and discuss how this \ntheory has influenced next-generation sensor design.\u0026nbsp; The CS paradigm \ncan be summarized neatly: the number of measurements (e.g. samples) \nneeded to acquire a signal or image depends more on its inherent \ninformation content than on the desired resolution (e.g. number of \npixels).\u0026nbsp; The theory of CS is far-reaching and draws on subjects as \nvaried as sampling theory, convex optimization, source and channel \ncoding, statistical estimation, uncertainty principles, and harmonic \nanalysis.\u0026nbsp; The applications of CS range from the familiar (imaging in \nmedicine and radar, high-speed analog-to-digital conversion, and \nsuper-resolution) to truly novel image acquisition and encoding \ntechniques.\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EIn\n the second part of the talk, we will show how some of the key ideas of \nCS can be used to dramatically reduce the computation required for two \ntypes of forward modeling problems.\u0026nbsp; In the first, we show how all of \nthe channels in a multiple-input multiple-output system can be acquired \njointly by simultaneously exciting all of the inputs with different \nrandom waveforms, and give an immediate application to seismic forward \nmodeling.\u0026nbsp; In the second, we consider the problem of acoustic source \nlocalization in a complicated channel.\u0026nbsp; We show that the amount of \ncomputation to perform \u0022matched field processing\u0022 (matched filtering) \ncan be reduced by precomputing the response of the channel to a small \nnumber of dense configurations of random sources.\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"27345","created_gmt":"2010-10-06 10:10:15","changed_gmt":"2016-10-08 01:52:31","author":"Cristina Gonzalez","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2010-10-08T01:00:00-04:00","event_time_end":"2010-10-08T01:00:00-04:00","event_time_end_last":"2010-10-08T01:00:00-04:00","gmt_time_start":"2010-10-08 05:00:00","gmt_time_end":"2010-10-08 05:00:00","gmt_time_end_last":"2010-10-08 05:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"37041","name":"Computational Science and Engineering"},{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EGeorge Biros\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022mailto:gbiros@cc.gatech.edu\u0022\u003Egbiros@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}}}