BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Talks.cam//talks.cam.ac.uk// X-WR-CALNAME:Talks.cam BEGIN:VEVENT SUMMARY:Bilinear Inverse Problems: How much does structure help? (Leverhul me Lecture) - Prof. Urbashi Mitra\, University of Southern California DTSTART:20170210T140000Z DTEND:20170210T150000Z UID:TALK70474@talks.cam.ac.uk CONTACT:Prof. Ramji Venkataramanan DESCRIPTION:A number of important inverse problems in signal processing\, such as blind deconvolution\, matrix factorization\, dictionary learning a nd blind source separation share the common characteristic of being biline ar inverse problems. In such problems\, the observation model is a functio n of two inputs and conditioned on one input being known\, the observation is a linear function of the other. We will review important applications and challenges. A key question is that of identifiability: can one unambi guously recover the pair of inputs from the output? We shall consider both deterministic conditions for identifiability as well as probabilistic sta tements that result in new scaling laws under cone constraints. We provide additional results specific to blind deconvolution and show\, surprisingl y\, that adding the sparsity structural constraint is insufficient for sig nal identifiability suggesting that other strategies such as coding are ne cessary to achieve identifiability. However\, there is hope that additiona l structure can help in certain cases. To this end\, we discuss a novel st rategy that exploits low rank matrix factorization to estimate parameters of a time-varying wireless channel.\n\n\n*BIO*:\nUrbashi Mitra received th e B.S. and the M.S. degrees from the University of California at Berkeley and her Ph.D. from Princeton University. She began her academic career at The Ohio State University. Dr. Mitra is currently a Dean’s Professor o f Electrical Engineering at the University of Southern California with a c ourtesy appointment in Computer Science. She is the inaugural Editor-in-Ch ief for the IEEE Transactions on Molecular\, Biological and Multi-scale Co mmunications. She is a member of the IEEE Information Theory Society's Boa rd of Governors (2002-2007\, 2012-2017) and the IEEE Signal Processing Soc iety’s Technical Committee on Signal Processing for Communications and N etworks (2012-2016). Dr. Mitra is a Fellow of the IEEE. She is the recipi ent of: a 2015 UK Royal Academy of Engineering Distinguished Visiting Prof essorship\, a 2015 US Fulbright Scholar Award\, a 2015-2016 UK Leverhulme Trust Visiting Professorship\, IEEE Communications Society Distinguished L ecturer\, 2012 Globecom Signal Processing for Communications Symposium Bes t Paper Award\, 2012 US National Academy of Engineering Lillian Gilbreth L ectureship\, the 2009 DCOSS Applications & Systems Best Paper Award\, Texa s Instruments Visiting Professor (Fall 2002\, Rice University)\, 2001 Okaw a Foundation Award\, 2000 OSU College of Engineering Lumley Award for Rese arch\, 1997 OSU College of Engineering MacQuigg Award for Teaching\, and a 1996 National Science Foundation CAREER Award. She has been an Associate Editor for the following IEEE publications: Transactions on Signal Proces sing\, Transactions on Information Theory\, Journal of Oceanic Engineering \, and Transactions on Communications. She has co-chaired: (technical prog ram) 2014 IEEE International Symposium on Information Theory in Honolulu\, HI\, 2014 IEEE Information Theory Workshop in Hobart\, Tasmania\, IEEE 20 12 International Conference on Signal Processing and Communications\, Bang alore India\, and the IEEE Communication Theory Symposium at ICC 2003 in A nchorage\, AK\; and general co-chair for the first ACM Workshop on Under water Networks at Mobicom 2006\, Los Angeles\, CA. Dr. Mitra has held visi ting appointments at: King’s College\, London\, Imperial College\, the D elft University of Technology\, Stanford University\, Rice University\, an d the Eurecom Institute. Her research interests are in: wireless communica tions\, communication and sensor networks\, biological communication syste ms\, detection and estimation and the interface of communication\, sensing and control. LOCATION:James Dyson Building Seminar Room - Department of Engineering END:VEVENT END:VCALENDAR