J. Tan,
Y. Ma,
H. Rueda,
D. Baron, and
G. Arce,
"Approximate Message Passing in Coded Aperture Snapshot Spectral Imaging,"
Proc. IEEE Global Conf. Signal Inf. Process., Orlando, FL, Dec. 2015
(pdf,
talk,
arxiv).
J. Tan,
Y. Ma,
H. Rueda,
D. Baron, and
G. Arce,
"Compressive Hyperspectral Imaging via Approximate Message Passing,"
to appear in IEEE J. Sel. Topics Signal Process, March 2016.
(pdf,
arxiv,
tutorial video).
Congratulations to
Jin Tan,
for defending her Ph.D. dissertation, September 2015.
Teaching
ECE 308
(elements of control systems), August 2015.
R. Fayez, J. Young,
J. Tan,
Y. Ma, and
D. Baron,
"Image Reconstriction in Radio Astronomy,"
Duke Workshop on Sensing and Analysis of High-Dimensional Data,
Durham, NC, July 2015
(poster; no paper).
Y. Ma,
J. Zhu, and
D. Baron,
"Universal Denoising in Approximate Message Passing,"
Duke Workshop on Sensing and Analysis of High-Dimensional Data,
Durham, NC, July 2015
(poster; no paper).
Tutorial video by
Jin Tan and
Yanting Ma
about our research on compressive imaging and approximate
message passing. The video surveys two algorithmic works.
The first reconstructs a message measured noisily with linear
measurements; applications include medical imaging and radio astronomy.
The second reconstructs a hyper spectral cube acquired noisily
by a compressive hyper spectral system, for example the well-known CASSI system
(July 2015).
Tutorial video by
Yanting Ma and
Junan Zhu
about our research on universal denoising and approximate
message passing. This algorithm solves linear inverse problems
in a universal way without knowing the input statistics. (July 2015).
Tutorial video by
Junan Zhu
about our research on size- and level- adaptive
Markov chain Monte Carlo, which is an algorithm
that solves linear inverse problems in a universal
way without knowing the input statistics. (July 2015).
Tutorial video by
Nikhil Krishnan
about our research on parallel algorithms for universal compression
(July 2015).
Y. Ma, D.
Baron, and A. Beirami,
"Mismatched Estimation in Large Linear Systems,"
Proc. IEEE Int. Symp. Inf. Theory, Hong Kong, June 2015
(pdf,
talk,
arxiv).
H. J. Trussell and
D. Baron
"Creating Analytic Online Homework for Digital
Signal Processing,"
IEEE Signal Proc. Mag., vol. 32, no. 5,
pp. 112-118, Sept. 2015
(pdf).
N. Krishnan and
D. Baron,
"A Universal Parallel Two-Pass MDL
Context Tree Compression Algorithm,"
IEEE J. Sel. Topics Signal Process.,
vol. 9, no. 4, pp. 1-8, June 2015
(pdf,
arxiv,
tutorial video).
J. Tan,
Y. Ma, and
D. Baron,
"Compressive Imaging via Approximate
Message Passing with Image Denoising,"
IEEE Trans. Signal Proc., vol. 63, no. 8, pp. 2085-2092, April 2015
(pdf,
arxiv,
tutorial video).
J. Zhu,
D. Baron, and
M. F. Duarte,
"Recovery from Linear Measurements with Complexity-Matching
Universal Signal Estimation,"
IEEE Trans. Signal Proc., vol. 63, no. 6, pp. 1512-1527, March 2015
(arxiv,
pdf,
Matlab,
tutorial video).
Joe Young,
an unergraduate student working with our group,
will be joining Rice University's Ph.D. program. Good luck Joe!
February 2015.
Y. Ma,
J. Zhu, and
D. Baron,
"Universal Denoising and Approximate Message Passing,"
presented at Inf. Theory Applications Workshop,
San Diego, CA, February 2015
(talk).
Teaching
ECE 421
(introduction to signal processing), January 2015.