Dror Baron -
2016
-
Junan Zhu
defended his Ph.D. work, December 2016.
(Dissertation).
-
J. Zhu,
D. Baron, and
A. Beirami,
"Optimal Trade-offs in Multi-Processor Approximate Message Passing,"
submitted, Nov. 2016
(arxiv).
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Article
in SP Magazine by John Edwards featuring
our work on hyperspectral image reconstruction (with
Jin Tan,
Yanting Ma,
Hoover Rueda, and
Gonzalo Arce),
September 2016.
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Teaching
ECE 592
(Topics in Data Science), August 2016
(syllabus,
calendar).
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NSF funding: D. Ricketts and D. Baron,
"mm/Sub-mm Wave Compressive Sensing Imaging,"
$399,979, July 2016 - June 2019
(details).
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J. Zhu,
A. Beirami, and
D. Baron,
"Performance Trade-Offs in Multi-Processor Approximate Message Passing,"
IEEE Int. Symp. Inf. Theory (ISIT),
Barcelona, Spain, July 2016
(pdf,
slides,
arxiv).
-
Y. Ma,
J. Zhu, and
D. Baron,
"Approximate Message Passing Algorithm with Universal Denoising
and Gaussian Mixture Learning,"
to appear in IEEE Trans. Signal Proc.
(pdf,
arxiv,
tutorial video).
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P. Han,
J. Zhu,
R. Niu, and
D. Baron,
"Multi-Processor Approximate Message Passing Using Lossy Compression,"
Proc. Int. Conf. Acoustics, Speech, and Signal Process. (ICASSP2016),
Shanghai, China, March 2016
(pdf,
arxiv,
poster).
-
Press release
about our work on hyperspectral image reconstruction (with
Jin Tan,
Yanting Ma,
Hoover Rueda, and
Gonzalo Arce), February 2016.
-
J. Zhu,
P. Han,
R. Niu,
A. Beirami, and
D. Baron,
"Large-Scale Multi-Processor Approximate Message Passing
with Lossy Compression,"
presented at Inf. Theory Applications Workshop,
San Diego, CA, February 2016
(slides).
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Software on
noisy sudocodes
(with Yanting Ma),
January 2016.
-
Teaching
ECE 421
(introduction to signal processing), January 2016.
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