Anna Lynn Spitzer aspitzer at calit2.uci.edu
Mon Jun 7 14:33:49 PDT 2010

                           CPCC DISTINGUISHED SEMINAR
Insights into the Stable Recovery of Sparse Solutions


Speaker:                                                Bhaskar D. Rao

Time:                                                   11 a.m.

Date:                                                   Wednesday June
9, 2010

Location:                                               Engineering
Hall, Room 2430


The problem of sparse signal recovery has received much attention
recently with the development of compressed sensing. Rao will examine
the problem of stable recovery of sparse solutions in noisy
First he will briefly review algorithms for sparse signal recovery and
discuss the connection between l1 minimization and support recovery of
sparse signals to provide context. Then he will establish a connection
between the sparse signal recovery problem and wireless communication
models in network information theory. 
Rao will demonstrate that the stable recovery of a sparse solution with
a single measurement vector (SMV) can be viewed as decoding competing
users simultaneously transmitting messages through a Multiple Access
Channel (MAC) at the same rate. With multiple measurement vectors (MMV),
he relates the inverse problem to the wireless communication scenario
with a Multiple-Input Multiple Output (MIMO) channel. In each case,
based on the connection established between the two domains, he
leverages channel capacity results to shed light on the fundamental
limits of any algorithm to stably recover sparse solutions in the
presence of noise.

Speaker's Bio:

Bhaskar D. Rao received the B.Tech. degree in electronics and electrical
communication engineering from the Indian Institute of Technology,
Kharagpur, India, 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 UC San Diego, where he is currently a professor
in the electrical and computer engineering department. His interests are
in the areas of digital signal processing, estimation theory and
optimization theory, with applications to digital communications, speech
signal processing and human-computer interactions.

He holds the Ericsson Endowed Chair in Wireless Access Networks and is
the director of the Center for Wireless Communications. His research
group has received several paper awards. Recently, a paper he
co-authored with B. Song and R. Cruz won the 2008 Stephen O. Rice Prize
Paper Award in the Field of Communications Systems and a paper he
co-authored with S. Shivappa and M. Trivedi received the best paper
award at AVSS 2008. 

More information:                             Hamid Jafarkhani,
hamidj at uci.edu

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