| 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 | 19533 | 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 | 8892 | 2006 |
| Sparsity and incoherence in compressive sampling E Candes, J Romberg Inverse problems 23 (3), 969, 2007 | 2778 | 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 | 1359 | 2009 |
| Imaging via compressive sampling J Romberg IEEE signal processing magazine 25 (2), 14-20, 2008 | 1305 | 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 | 1230 | 2005 |
| Quantitative robust uncertainty principles and optimally sparse decompositions EJ Candes, J Romberg Foundations of Computational Mathematics 6 (2), 227-254, 2006 | 744 | 2006 |
| Signal recovery from random projections EJ Candes, JK Romberg Computational Imaging III 5674, 76-86, 2005 | 716 | 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 | 697 | 2001 |
| Compressive sensing by random convolution J Romberg SIAM Journal on Imaging Sciences 2 (4), 1098-1128, 2009 | 540 | 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 | 463 | 2016 |
| Blind deconvolution using convex programming A Ahmed, B Recht, J Romberg IEEE Transactions on Information Theory 60 (3), 1711-1732, 2013 | 457 | 2013 |
| Restricted isometries for partial random circulant matrices H Rauhut, J Romberg, JA Tropp Applied and Computational Harmonic Analysis 32 (2), 242-254, 2012 | 247 | 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 | 230 | 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 | 199 | 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 | 192 | 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 | 189 | 2012 |
| Sparse Recovery of Streaming Signals Using -Homotopy MS Asif, J Romberg IEEE Transactions on Signal Processing 62 (16), 4209-4223, 2014 | 187 | 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 | 165 | 2000 |
| Compressive phase retrieval ML Moravec, JK Romberg, RG Baraniuk Wavelets XII 6701, 712-722, 2007 | 159 | 2007 |
