{"322041":{"#nid":"322041","#data":{"type":"event","title":"Center for Signal and Information Processing Seminar","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESeminar Abstract\u003C\/strong\u003E\u003Cbr \/\u003EWe present a simple technique for estimating parts of the Singular\u003Cbr \/\u003EValue Decomposition (SVD) of a data matrix from a small randomly\u003Cbr \/\u003Ecompressed \u0022sketch\u0022 of that matrix. In sensor network settings--where\u003Cbr \/\u003Eeach column of the data matrix comes from a separate sensor--the\u003Cbr \/\u003Esketch can be assembled using operations local to each sensor. As an application of this work, we consider the problem of Structural Health Monitoring (SHM). SHM systems are critical for monitoring aging infrastructure (such as buildings or bridges) in a cost-effective manner. Such systems typically involve collections of battery-operated wireless sensors that sample vibration data over time. After the data is transmitted to a central node, modal analysis can be used to detect damage in the structure. We propose and study three frameworks for Compressive Sensing (CS) in SHM systems; these methods are intended to minimize power consumption by allowing the data to be sampled and\/or transmitted more efficiently. At the central node, all of these frameworks involve a very simple technique for estimating the structure\u0027s mode shapes without requiring a traditional CS reconstruction of the vibration signals; all that is needed is to compute a simple SVD. We support our proposed techniques theoretically and using simulations based on synthetic and real data. This project is joint work with Anna Gilbert and Jae Young Park.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ESpeaker Bio\u003C\/strong\u003E\u003Cbr \/\u003EMichael B. Wakin received a B.S. in electrical engineering and a B.A.\u003Cbr \/\u003Ein mathematics in 2000 (summa cum laude), an M.S. in electrical\u003Cbr \/\u003Eengineering in 2002, and a Ph.D. in electrical engineering in 2007,\u003Cbr \/\u003Eall from Rice University.\u0026nbsp; He was an NSF Mathematical Sciences\u003Cbr \/\u003EPostdoctoral Research Fellow at Caltech from 2006-2007 and an\u003Cbr \/\u003EAssistant Professor at the University of Michigan from 2007-2008. He\u003Cbr \/\u003Eis now an Associate Professor in the Department of Electrical\u003Cbr \/\u003EEngineering and Computer Science at the Colorado School of Mines\u003Cbr \/\u003E(CSM). His research interests include sparse, geometric, and\u003Cbr \/\u003Emanifold-based models for signal processing and compressive sensing.\u003Cbr \/\u003EIn 2007, Dr. Wakin shared the Hershel M. Rich Invention Award from\u003Cbr \/\u003ERice University for the design of a single-pixel camera based on\u003Cbr \/\u003Ecompressive sensing; in 2008, Dr.\u0026nbsp; Wakin received the DARPA Young\u003Cbr \/\u003EFaculty Award for his research in compressive multi-signal processing\u003Cbr \/\u003Efor environments such as sensor and camera networks; in 2012, Dr.\u003Cbr \/\u003EWakin received the NSF CAREER Award for research into dimensionality reduction techniques for structured data sets; and in 2014, Dr. Wakin received the Excellence in Research Award for his research as a junior faculty member at CSM. Dr. Wakin is an Associate Editor for \u003Cem\u003EIEEE Signal Processing Letters\u003C\/em\u003E.\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EMichael B. Wakin, an associate professor at the Colorado School of Mines, is the featured speaker for the Sept. 12 CSIP seminar.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Michael B. Wakin, an associate professor at the Colorado School of Mines, is the featured speaker for the Sept. 12 CSIP seminar."}],"uid":"27241","created_gmt":"2014-09-05 11:31:22","changed_gmt":"2017-04-13 21:21:49","author":"Jackie Nemeth","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2014-09-12T16:00:00-04:00","event_time_end":"2014-09-12T17:00:00-04:00","event_time_end_last":"2014-09-12T17:00:00-04:00","gmt_time_start":"2014-09-12 20:00:00","gmt_time_end":"2014-09-12 21:00:00","gmt_time_end_last":"2014-09-12 21:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"1255","name":"School of Electrical and Computer Engineering"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78751","name":"Undergraduate students"},{"id":"78761","name":"Faculty\/Staff"},{"id":"174045","name":"Graduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EAndrew Massimino\u003C\/p\u003E\u003Cp\u003ESchool of Electrical and Computer Engineering\u003C\/p\u003E\u003Cp\u003ECenter for Signal and Information Processing\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022mailto:massimino@gatech.edu\u0022\u003Emassimino@gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}}}