Justin Romberg
Justin Romberg
Professor of Electrical and Computer Engineering, Georgia Institute of Technology
Verified email at - Homepage
Cited by
Cited by
Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information
EJ Candès, J Romberg, T Tao
IEEE Transactions on information theory 52 (2), 489-509, 2006
Stable signal recovery from incomplete and inaccurate measurements
EJ Candes, JK Romberg, T Tao
Communications on Pure and Applied Mathematics: A Journal Issued by the …, 2006
Sparsity and incoherence in compressive sampling
E Candes, J Romberg
Inverse problems 23 (3), 969, 2007
Beyond Nyquist: Efficient sampling of sparse bandlimited signals
JA Tropp, JN Laska, MF Duarte, JK Romberg, RG Baraniuk
IEEE transactions on information theory 56 (1), 520-544, 2009
Imaging via compressive sampling
J Romberg
IEEE signal processing magazine 25 (2), 14-20, 2008
l1-magic: Recovery of sparse signals via convex programming
E Candes, J Romberg
URL: www. acm. caltech. edu/l1magic/downloads/l1magic. pdf 4 (14), 16, 2005
Quantitative robust uncertainty principles and optimally sparse decompositions
EJ Candes, J Romberg
Foundations of Computational Mathematics 6 (2), 227-254, 2006
Signal recovery from random projections
EJ Candes, JK Romberg
Computational Imaging III 5674, 76-86, 2005
Bayesian tree-structured image modeling using wavelet-domain hidden Markov models
JK Romberg, H Choi, RG Baraniuk
IEEE Transactions on image processing 10 (7), 1056-1068, 2001
Compressive sensing by random convolution
J Romberg
SIAM Journal on Imaging Sciences 2 (4), 1098-1128, 2009
An overview of low-rank matrix recovery from incomplete observations
MA Davenport, J Romberg
IEEE Journal of Selected Topics in Signal Processing 10 (4), 608-622, 2016
Blind deconvolution using convex programming
A Ahmed, B Recht, J Romberg
IEEE Transactions on Information Theory 60 (3), 1711-1732, 2013
Restricted isometries for partial random circulant matrices
H Rauhut, J Romberg, JA Tropp
Applied and Computational Harmonic Analysis 32 (2), 242-254, 2012
Compressive sensing on a CMOS separable-transform image sensor
R Robucci, JD Gray, LK Chiu, J Romberg, P Hasler
Proceedings of the IEEE 98 (6), 1089-1101, 2010
Terahertz time-gated spectral imaging for content extraction through layered structures
A Redo-Sanchez, B Heshmat, A Aghasi, S Naqvi, M Zhang, J Romberg, ...
Nature communications 7 (1), 12665, 2016
Net-trim: Convex pruning of deep neural networks with performance guarantee
A Aghasi, A Abdi, N Nguyen, J Romberg
Advances in neural information processing systems 30, 2017
A nonuniform sampler for wideband spectrally-sparse environments
M Wakin, S Becker, E Nakamura, M Grant, E Sovero, D Ching, J Yoo, ...
IEEE Journal on Emerging and Selected Topics in Circuits and Systems 2 (3 …, 2012
Sparse Recovery of Streaming Signals Using -Homotopy
MS Asif, J Romberg
IEEE Transactions on Signal Processing 62 (16), 4209-4223, 2014
Hidden Markov tree modeling of complex wavelet transforms
H Choi, J Romberg, R Baraniuk, N Kingsbury
2000 IEEE International Conference on Acoustics, Speech, and Signal …, 2000
Compressive phase retrieval
ML Moravec, JK Romberg, RG Baraniuk
Wavelets XII 6701, 712-722, 2007
The system can't perform the operation now. Try again later.
Articles 1–20