Dror Baron -
2019
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C. K. Anjinappa,
Y. Zhou,
Y. Yapici,
D. Baron, and
I. Guvenc,
"Channel Estimation in mmWave Hybrid MIMO System via Off-Grid Dirichlet Kernels,"
in Proc. IEEE Globecom 2019, Waikoloa, HI, Dec. 2019
(arxiv).
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H. Liu,
Y. Zhou,
A. Beirami, and
D. Baron,
"Nonlinear Function Estimation with Empirical Bayes and Approximate Message Passing,"
Proc. 57th Allerton Conf. Communication, Control, and Computing,
Monticello, IL, September 2019
(pdf,
slides,
arxiv).
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Y. Ma,
C. Rush, and
D. Baron,
"Analysis of Approximate Message Passing with Non-Separable Denoisers and
Markov Random Field Priors," to appear in IEEE Trans. Inf. Theory, August 2019
(arxiv).
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Teaching
ECE 592
(topics in data science), August 2019.
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H. Liu,
C. Rush, and
D. Baron,
"An Analysis of State Evolution for Approximate
Message Passing with Side Information"
Proc. Int. Symp. Inf. Theory (ISIT), Paris, France, July 2019
(pdf,
full version,
arxiv,
slides).
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A. Ma,
Y. Zhou,
C. Rush,
D. Baron, and
D. Needell,
"An Approximate Message Passing Framework for Side Information,"
IEEE Trans. Signal Proc., vol. 67, no. 7, pp. 1875-1888, Apr. 2019
(arxiv).
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H. Liu,
C. Rush, and
D. Baron,
"State Evolution Analysis of Approximate Message Passing with Side Information,"
Conf. Inf. Sciences & Systems (CISS), Baltimore, MD,
March 2019
(slides).
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Funding from Center for Advanced Electronics through Machine Learning
(CAEML):
D. Baron,
R. Davis, and
P. Franzon,
"High-Dimensional Structural Inference for Non-Linear Deep Markov or State Space Time Series Models,"
$54,000, January 2019 - December 2019
(details).
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Funding from CAEML:
R. Davis,
P. Franzon,
D. Baron, and
E. Rotenberg,
"Fast, Accurate PPA Model-Extraction,"
$54,693, January 2019 - December 2020
(details).
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Teaching
ECE 421
(introduction to signal processing), January 2019.
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