New
-
D. Baron and
M. Duarte,
"Signal Recovery in Compressed Sensing via Universal Priors,"
submitted, April 2012 (pdf,
arxiv).
-
D. Baron and
M. Duarte,
"Universal MAP Signal Estimation from Random Projections,"
Information Theory and Applications workshop,
San Diego, February 2012 (talk).
-
D. Baron and
M. Duarte,
"Universal MAP Estimation in Compressed Sensing,"
Proceedings of the 49th Allerton Conference on Communication, Control,
and
Computing, Monticello, IL, September 2011
(pdf,
talk,
software).
This work has been
discussed
in the
Nuit Blanche
blog.
-
D. Baron,
"Information complexity and estimation,"
Fourth Workshop Inf. Theoretic Methods Science Eng. (WITMSE 2011),
Helsinki, Finland, August 2011
(pdf,
arxiv,
talk).
-
D. Baron and
T. Weissman,
"An MCMC Approach to Universal Lossy Compression of Analog Sources",
submitted
(pdf,
arxiv).
(July 2011.)
Research
During the last several years, we have been inundated by a deluge of data
in applications including distributed networked systems, finance, medical imaging, and seismics.
My interest lies in fundamental research for problems
involving vast amounts of data that must be processed effectively
and rapidly in order to extract useful - potentially "actionable" - information.
To approach these problems, we must use a
multi-disciplinary approach, and I combine tools
from information theory,
statistical signal processing, machine learning, and
computer science.
I call this computational information processing.
Specific research directions that I have worked on include:
Teaching
Students
Prospective Students
Regretfully, I cannot respond to most inquiries regarding openings for
graduate and postdoctoral positions in my group.
Contact
Email: barondror AT ncsu DOT edu
Phone: +1-919-513-7974
Address:
2097 Engr Bldg II
Campus Box 7911
NC State University
Raleigh, NC 27695-7911
Links
(Last updated
.)
