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Events for April 03, 2015
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Hierarchical Bayesian Methods for Sparse Signal Recovery
Fri, Apr 03, 2015 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Bhaskar D. Rao, University of California, San Diego
Talk Title: Hierarchical Bayesian Methods for Sparse Signal Recovery
Abstract: Compressive sensing (CS) as an approach for data acquisition has recently received much attention. In CS, the signal recovery problem from the observed data requires the solution of a sparse vector from an underdetermined system of equations. The underlying sparse signal recovery problem is quite general with many applications and is the focus of this talk. The main emphasis will be on a hierarchical Bayesian framework with a detailed discussion of an empirical Bayesian method, the Sparse Bayesian Learning (SBL) method. To develop this framework, priors modeled as scale mixtures of normal distributions will be discussed which include super-Gaussian and student-t priors as special cases. The talk will also discuss Bayesian methods for sparse recovery problems with structure; Intra-vector correlation in the context of the block sparse model and inter-vector correlation in the context of the multiple measurement vector problem.
Biography: Bhaskar D. Rao received the B.Tech. degree in electronics and electrical communication engineering from the Indian Institute of Technology, Kharagpur, India, in 1979 and the M.S. and Ph.D. degrees from the University of Southern California, Los Angeles, in 1981 and 1983, respectively. Since 1983, he has been with the University of California at San Diego, La Jolla, where he is currently a Professor in the Electrical and Computer Engineering department. He is the holder of the Ericsson endowed chair in Wireless Access Networks and was the Director of the Center for Wireless Communications (2008-2011). Prof. Raoâs interests are in the areas of digital signal processing, estimation theory, and optimization theory, with applications to digital communications, speech signal processing, and biomedical signal processing.
Prof. Rao was elected fellow of IEEE in 2000 for his contributions to the statistical analysis of subspace algorithms for harmonic retrieval. His work has received several paper awards; 2013 best paper award at the Fall 2013, IEEE Vehicular Technology Conference for the paper âMulticell Random Beamforming with CDF-based Scheduling: Exact Rate and Scaling Laws,â by Yichao Huang and Bhaskar D Rao, 2012 Signal Processing Society (SPS) best paper award for the paper âAn Empirical Bayesian Strategy for Solving the Simultaneous Sparse Approximation Problem,â by David P. Wipf and Bhaskar D. Rao published in IEEE Transaction on Signal Processing, Volume: 55, No. 7, July 2007, 2008 Stephen O. Rice Prize paper award in the field of communication systems for the paper âNetwork Duality for Multiuser MIMO Beamforming Networks and Applications,â by B. Song, R. L. Cruz and B. D. Rao that appeared in the IEEE Transactions on Communications, Vol. 55, No. 3, March 2007, pp. 618 630. (http://www.comsoc.org/ awards/rice.html), among others.
Prof. Rao has been a member of the Statistical Signal and Array Processing technical committee, the Signal Processing Theory and Methods technical committee, the Communications technical committee of the IEEE Signal Processing Society and is currently a member of the Machine learning for Signal Processing technical committee. He has also served on the editorial board of the EURASIP Signal Processing Journal and also as a technical member for several IEEE conferences.
Host: Andreas Molisch, molisch@usc.edu, EEB 530, x04670
Audiences: Everyone Is Invited
Contact: Gerrielyn Ramos
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Integrated Systems Seminar
Fri, Apr 03, 2015 @ 03:00 PM - 04:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Prof. Jan Van der Spiegel, University of Pennsylvania
Talk Title: TBD
Series: Integrated Systems Seminar
Host: Hosted by Prof. Hossein Hashemi, Prof. Mike Chen, and Prof. Mahta Moghaddam Organized and hosted by Run Chen
More Info: http://mhi.usc.edu/events/event-details/?event_id=915369
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Elise Herrera-Green
Event Link: http://mhi.usc.edu/events/event-details/?event_id=915369
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Ming Hsieh Electrical Engineering Seminar
Fri, Apr 03, 2015 @ 04:00 PM - 05:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
University Calendar
The Live Simulation Environment
Friday April 3rd 4 pm – 5 pm EEB248
Dr. Jose Renau of U.C. Santa Cruz
Short bio:
Jose Renau (http://www.soe.ucsc.edu/~renau) is an associate professor of computer engineering at the University of California, Santa Cruz. His research focuses on computer architecture, including design effort metrics and models, infrared thermal measurements, low-power and thermal-aware designs, process variability, thread level speculation, and FPGA/ASIC design. Renau has a PhD in Computer Science from the University of Illinois at Urbana-Champaign.
Short Abstract:
Professor Renau will talk about the still not published Live Simulation environment being developed University of California, Santa Cruz. The Live Simulation Environment is a collaborative environment with statistical sampling for very fast
computer architecture simulations. The talk will present the philosophy and a live demo of the setup. The setup can run SPEC benchmarks in few seconds with accurate sampling.
Unlike other statistical simulation simulators, the user does not specify sampling parameters. The user just sets the acceptable simulation error, a set of benchmarks, and the architecture configuration. The Live environment is able to automatically adjust the sampling parameters guaranteeing that the error is within the requested confidence interval.
By adapting the sample parameters per application, benchmark, and core automatically it is possible to accurately run SPEC 2006 in a few seconds.
This is a link of a video showing the "goal"
http://masc.soe.ucsc.edu/livedemo/livedemo.mp4
Host: Dr. Timothy Pinkston
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Shane Goodoff
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The Live Simulation Environment
Fri, Apr 03, 2015 @ 04:00 PM - 05:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
University Calendar
The Live Simulation Environment
Friday April 3rd 4 pm – 5 pm EEB248
Dr. Jose Renau of U.C. Santa Cruz
Short bio:
Jose Renau (http://www.soe.ucsc.edu/~renau) is an associate professor of computer engineering at the University of California, Santa Cruz. His research focuses on computer architecture, including design effort metrics and models, infrared thermal measurements, low-power and thermal-aware designs, process variability, thread level speculation, and FPGA/ASIC design. Renau has a PhD in Computer Science from the University of Illinois at Urbana-Champaign.
Short Abstract:
Professor Renau will talk about the still not published Live Simulation environment being developed University of California, Santa Cruz. The Live Simulation Environment is a collaborative environment with statistical sampling for very fast
computer architecture simulations. The talk will present the philosophy and a live demo of the setup. The setup can run SPEC benchmarks in few seconds with accurate sampling.
Unlike other statistical simulation simulators, the user does not specify sampling parameters. The user just sets the acceptable simulation error, a set of benchmarks, and the architecture configuration. The Live environment is able to automatically adjust the sampling parameters guaranteeing that the error is within the requested confidence interval.
By adapting the sample parameters per application, benchmark, and core automatically it is possible to accurately run SPEC 2006 in a few seconds.
This is a link of a video showing the "goal"
http://masc.soe.ucsc.edu/livedemo/livedemo.mp4
Host: Dr. Timothy Pinkston
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248 Conference Room
Audiences: Everyone Is Invited
Contact: Shane Goodoff
