{"603206":{"#nid":"603206","#data":{"type":"event","title":"Ph.D. Dissertation Defense - Ning Tian","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle\u003C\/strong\u003E\u003Cem\u003E:\u0026nbsp; \u003C\/em\u003E\u003Cem\u003EMultichannel Blind Deconvolution in Underwater Acoustic Channels\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ECommittee:\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Justin Romberg, ECE, Chair , Advisor\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Karim Sabra, ME\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Mark Davenport, ECE\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. James McClellan, ECE\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Christopher Rozell, ECE\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe objective of this thesis is to develop new techniques for solving the multichannel blind deconvolution problem and to implement these techniques in an acoustic waveguide environment.\u0026nbsp; We revisit this classical problem by investigating channel models and recovery methods.\u0026nbsp; We show how to use a priori information about channels to build appropriate channel models that, in turn, can be incorporated into our methods.\u0026nbsp; Both linear and bilinear channel models will be investigated in our study.\u0026nbsp; Our first method views solving the multichannel deconvolution problem as solving a system of bilinear equations, which in turn can be recast as recovering a low-rank matrix from a set of linear observations.\u0026nbsp; Our second method furthers our knowledge in the classical subspace method for blind deconvolution, and efficient and guaranteed algorithms are presented.\u0026nbsp; We also extend our method to a multiple-source multiple-channel convolution scenario and develop a source separation framework.\u0026nbsp; Moreover, we investigate a subspace learning method for multichannel deconvolution by using multiple snapshots of measurements.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Multichannel Blind Deconvolution in Underwater Acoustic Channels "}],"uid":"28475","created_gmt":"2018-03-02 21:58:37","changed_gmt":"2018-03-02 21:58:37","author":"Daniela Staiculescu","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2018-03-20T11:00:00-04:00","event_time_end":"2018-03-20T13:00:00-04:00","event_time_end_last":"2018-03-20T13:00:00-04:00","gmt_time_start":"2018-03-20 15:00:00","gmt_time_end":"2018-03-20 17:00:00","gmt_time_end_last":"2018-03-20 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"434381","name":"ECE Ph.D. Dissertation Defenses"}],"categories":[],"keywords":[{"id":"100811","name":"Phd Defense"},{"id":"1808","name":"graduate students"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78771","name":"Public"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}