Recovering compressively sampled signals using partial support information M Friedlander, H Mansour, R Saab, O Yilmaz Information Theory, IEEE Transactions on, 1-1, 2012 | 257 | 2012 |
Stable sparse approximations via nonconvex optimization R Saab, R Chartrand, O Yilmaz Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE …, 2008 | 247 | 2008 |
One-bit compressive sensing with norm estimation K Knudson, R Saab, R Ward IEEE Transactions on Information Theory 62 (5), 2748-2758, 2016 | 193 | 2016 |
Bayesian wavefield separation by transform-domain sparsity promotion D Wang, R Saab, O Yilmaz, FJ Herrmann Geophysics 73 (5), A33, 2008 | 160* | 2008 |
Algorithm 890: Sparco: A testing framework for sparse reconstruction E van den Berg, MP Friedlander, G Hennenfent, FJ Herrmann, R Saab, ... ACM Transactions on Mathematical Software (TOMS) 35 (4), 29, 2009 | 141* | 2009 |
Sparse recovery by non-convex optimization-instance optimality R Saab, O Yilmaz Applied and Computational Harmonic Analysis 29 (1), 30-48, 2010 | 128 | 2010 |
Sobolev duals for random frames and Sigma-Delta quantization of compressed sensing measurements S Güntürk, M Lammers, A Powell, R Saab, Ö Yılmaz Foundations of Computational Mathematics 13 (1), 1-36, 2013 | 92 | 2013 |
Quantization and compressive sensing PT Boufounos, L Jacques, F Krahmer, R Saab Compressed Sensing and its Applications: MATHEON Workshop 2013, 193-237, 2015 | 90 | 2015 |
Sigma delta quantization for compressed sensing CS Gunturk, M Lammers, A Powell, R Saab, O Ylmaz Information Sciences and Systems (CISS), 2010 44th Annual Conference on, 1-6, 2010 | 89* | 2010 |
Underdetermined Anechoic Blind Source Separation via-Basis-Pursuit With R Saab, O Yilmaz, MJ McKeown, R Abugharbieh IEEE Transactions on Signal Processing 55 (8), 4004-4017, 2007 | 59 | 2007 |
Recovery analysis for weighted ℓ1-minimization using the null space property H Mansour, R Saab Applied and Computational Harmonic Analysis 43 (1), 23-38, 2017 | 57 | 2017 |
Weighted -minimization for sparse recovery under arbitrary prior information D Needell, R Saab, T Woolf Information and Inference: A Journal of the IMA 6 (3), 284-309, 2017 | 56 | 2017 |
Phase retrieval from local measurements: Improved robustness via eigenvector-based angular synchronization MA Iwen, B Preskitt, R Saab, A Viswanathan Applied and Computational Harmonic Analysis, 2020 | 50 | 2020 |
Sigma-Delta Quantization Of Sub-Gaussian Frame Expansions and its Application to Compressed Sensing F Krahmer, R Saab, Ö Yilmaz | 49 | 2013 |
Quantization of compressive samples with stable and robust recovery R Saab, R Wang, Ö Yılmaz Applied and Computational Harmonic Analysis 44 (1), 123-143, 2018 | 43 | 2018 |
A wavelet based approach for the detection of coupling in EEG signals R Saab, MJ McKeown, LJ Myers, R Abu-Gharbieh Neural Engineering, 2005. Conference Proceedings. 2nd International IEEE …, 2005 | 41 | 2005 |
Random vector functional link networks for function approximation on manifolds D Needell, AA Nelson, R Saab, P Salanevich, O Schavemaker Frontiers in Applied Mathematics and Statistics 10, 1284706, 2024 | 38 | 2024 |
Root-Exponential Accuracy for Coarse Quantization of Finite Frame Expansions F Krahmer, R Saab, R Ward | 37 | 2012 |
Curvelet-based primary-multiple separation from a Bayesian perspective R Saab, D Wang, O Yilmaz, FJ Herrmann Society of Exploration Geophysicists, 2007 | 31* | 2007 |
Fast binary embeddings and quantized compressed sensing with structured matrices T Huynh, R Saab Communications on Pure and Applied Mathematics 73 (1), 110-149, 2020 | 29 | 2020 |