Jarvis Haupt
Jarvis Haupt
Associate Professor of Electrical and Computer Engineering, University of Minnesota
Verified email at umn.edu - Homepage
Title
Cited by
Cited by
Year
Compressed channel sensing: A new approach to estimating sparse multipath channels
WU Bajwa, J Haupt, AM Sayeed, R Nowak
Proceedings of the IEEE 98 (6), 1058-1076, 2010
10062010
Signal reconstruction from noisy random projections
J Haupt, R Nowak
IEEE Transactions on Information Theory 52 (9), 4036-4048, 2006
6932006
Compressed sensing for networked data
J Haupt, WU Bajwa, M Rabbat, R Nowak
IEEE Signal Processing Magazine 25 (2), 92-101, 2008
6012008
Toeplitz compressed sensing matrices with applications to sparse channel estimation
J Haupt, WU Bajwa, G Raz, R Nowak
IEEE transactions on information theory 56 (11), 5862-5875, 2010
4802010
Compressive wireless sensing
W Bajwa, J Haupt, A Sayeed, R Nowak
Proceedings of the 5th international conference on Information processing in …, 2006
4362006
Toeplitz-structured compressed sensing matrices
WU Bajwa, JD Haupt, GM Raz, SJ Wright, RD Nowak
2007 IEEE/SP 14th Workshop on Statistical Signal Processing, 294-298, 2007
3892007
Compressed channel sensing
WU Bajwa, J Haupt, G Raz, R Nowak
2008 42nd Annual Conference on Information Sciences and Systems, 5-10, 2008
2702008
Decentralized compression and predistribution via randomized gossiping
M Rabbat, J Haupt, A Singh, R Nowak
Proceedings of the 5th international conference on Information processing in …, 2006
1982006
Joint source–channel communication for distributed estimation in sensor networks
WU Bajwa, JD Haupt, AM Sayeed, RD Nowak
IEEE Transactions on Information Theory 53 (10), 3629-3653, 2007
1932007
Compressive sampling for signal detection
J Haupt, R Nowak
2007 IEEE International Conference on Acoustics, Speech and Signal …, 2007
1692007
Distilled sensing: Adaptive sampling for sparse detection and estimation
J Haupt, RM Castro, R Nowak
IEEE Transactions on Information Theory 57 (9), 6222-6235, 2011
1562011
Compressive sampling for signal classification
J Haupt, R Castro, R Nowak, G Fudge, A Yeh
2006 Fortieth Asilomar Conference on Signals, Systems and Computers, 1430-1434, 2006
1362006
Compressive distilled sensing: Sparse recovery using adaptivity in compressive measurements
JD Haupt, RG Baraniuk, RM Castro, RD Nowak
2009 Conference Record of the Forty-Third Asilomar Conference on Signals …, 2009
862009
Sequentially designed compressed sensing
J Haupt, R Baraniuk, R Castro, R Nowak
2012 IEEE Statistical Signal Processing Workshop (SSP), 401-404, 2012
762012
Adaptive sensing for sparse signal recovery
J Haupt, R Nowak, R Castro
2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal …, 2009
752009
A Nyquist folding analog-to-information receiver
GL Fudge, RE Bland, MA Chivers, S Ravindran, J Haupt, PE Pace
2008 42nd Asilomar Conference on Signals, Systems and Computers, 541-545, 2008
742008
Finding needles in noisy haystacks
RM Castro, J Haupt, R Nowak, GM Raz
2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008
592008
Identifying outliers in large matrices via randomized adaptive compressive sampling
X Li, J Haupt
IEEE Transactions on Signal Processing 63 (7), 1792-1807, 2015
572015
Stochastic variance reduced optimization for nonconvex sparse learning
X Li, T Zhao, R Arora, H Liu, J Haupt
International Conference on Machine Learning, 917-925, 2016
552016
Compressive sampling vs. conventional imaging
J Haupt, R Nowak
2006 International Conference on Image Processing, 1269-1272, 2006
552006
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