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Home | Seminars and Symposia | Past seminars/symposia: Monday, June 1, 2015

DTC Seminar Series

Sparse Signal Recovery Problems with Structure

by

Bhaskar D. Rao
University of California, San Diego

Monday, June 1, 2015
10:30 a.m. reception
11:00 a.m. seminar

401/402 Walter Library

Bhaskar D.Rao

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. In this talk, the sparse signal recovery problem is discussed in the presence of structure; block sparse and jointly sparse (Multiple Measurement Vectors). The role of structure is elucidated by examining the connection with multi-user communication and employing network information theoretic tools. This provides insights into the nature of difficulty of these problems. On the algorithmic front, a hierarchical Bayesian framework based on scale mixtures of normal distributions will be presented. The various algorithmic options will be discussed and the benefits of the hierarchical approach highlighted.

 

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. Rao's 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 "Multicell Random Beamforming with CDF-based Scheduling: Exact Rate and Scaling Laws," by Yichao Huang and Bhaskar D Rao, 2012 Signal Processing Society (SPS) best paper award for the paper "An Empirical Bayesian Strategy for Solving the Simultaneous Sparse Approximation Problem," 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 "Network Duality for Multiuser MIMO Beamforming Networks and Applications," 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.