Galen Reeves
Galen Reeves
Verifierad e-postadress på duke.edu - Startsida
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The sampling rate-distortion tradeoff for sparsity pattern recovery in compressed sensing
G Reeves, M Gastpar
IEEE Transactions on Information Theory 58 (5), 3065-3092, 2012
155*2012
The replica-symmetric prediction for random linear estimation with Gaussian matrices is exact
G Reeves, HD Pfister
IEEE Transactions on Information Theory 65 (4), 2252-2283, 2019
94*2019
Approximate sparsity pattern recovery: Information-theoretic lower bounds
G Reeves, MC Gastpar
IEEE Transactions on Information Theory 59 (6), 3451-3465, 2013
822013
Managing massive time series streams with multi-scale compressed trickles
G Reeves, J Liu, S Nath, F Zhao
Proceedings of the VLDB Endowment 2 (1), 97-108, 2009
782009
Querying compressed time-series signals
J Liu, SK Nath, F Zhao, GA Reeves, SK Gandhi
US Patent 8,219,574, 2012
702012
Classification and reconstruction of high-dimensional signals from low-dimensional features in the presence of side information
F Renna, L Wang, X Yuan, J Yang, G Reeves, R Calderbank, L Carin, ...
IEEE Transactions on Information Theory 62 (11), 6459-6492, 2016
42*2016
A note on optimal support recovery in compressed sensing
G Reeves, M Gastpar
2009 Conference Record of the Forty-Third Asilomar Conference on Signals …, 2009
422009
Sparse signal sampling using noisy linear projections
G Reeves
CALIFORNIA UNIV BERKELEY DEPT OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCE, 2008
312008
A compressed sensing wire-tap channel
G Reeves, N Goela, N Milosavljevic, M Gastpar
2011 IEEE Information Theory Workshop, 548-552, 2011
292011
Additivity of information in multilayer networks via additive gaussian noise transforms
G Reeves
2017 55th Annual Allerton Conference on Communication, Control, and …, 2017
222017
Compressed sensing under optimal quantization
A Kipnis, G Reeves, YC Eldar, AJ Goldsmith
2017 IEEE international symposium on information theory (ISIT), 2148-2152, 2017
202017
The minimax noise sensitivity in compressed sensing
G Reeves, D Donoho
2013 IEEE International Symposium on Information Theory, 116-120, 2013
152013
Single letter formulas for quantized compressed sensing with Gaussian codebooks
A Kipnis, G Reeves, YC Eldar
2018 IEEE international symposium on information theory (ISIT), 71-75, 2018
122018
The all-or-nothing phenomenon in sparse linear regression
G Reeves, J Xu, I Zadik
arXiv preprint arXiv:1903.05046, 2019
112019
Mutual information as a function of matrix SNR for linear gaussian channels
G Reeves, HD Pfister, A Dytso
2018 IEEE International Symposium on Information Theory (ISIT), 1754-1758, 2018
112018
Conditional central limit theorems for Gaussian projections
G Reeves
2017 IEEE International Symposium on Information Theory (ISIT), 3045-3049, 2017
112017
Sparsity pattern recovery in compressed sensing
G Reeves
UC Berkeley, 2011
112011
Differences between observation and sampling error in sparse signal reconstruction
G Reeves, M Gastpar
2007 IEEE/SP 14th Workshop on Statistical Signal Processing, 690-694, 2007
112007
Achieving Bayes MMSE performance in the sparse signal+ Gaussian white noise model when the noise level is unknown
D Donoho, G Reeves
2013 IEEE International Symposium on Information Theory, 101-105, 2013
102013
The fundamental limits of stable recovery in compressed sensing
G Reeves
2014 IEEE International Symposium on Information Theory, 3017-3021, 2014
92014
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Artiklar 1–20