Rayan Saab
Rayan Saab
Professor, Mathematics & Halıcıoğlu Data Science Institute, UC San Diego
Verified email at - Homepage
Cited by
Cited by
Recovering compressively sampled signals using partial support information
M Friedlander, H Mansour, R Saab, O Yilmaz
Information Theory, IEEE Transactions on, 1-1, 2012
Stable sparse approximations via nonconvex optimization
R Saab, R Chartrand, O Yilmaz
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE …, 2008
One-bit compressive sensing with norm estimation
K Knudson, R Saab, R Ward
IEEE Transactions on Information Theory 62 (5), 2748-2758, 2016
Bayesian wavefield separation by transform-domain sparsity promotion
D Wang, R Saab, O Yilmaz, FJ Herrmann
Geophysics 73 (5), A33, 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
Sparse recovery by non-convex optimization-instance optimality
R Saab, O Yilmaz
Applied and Computational Harmonic Analysis 29 (1), 30-48, 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
Quantization and compressive sensing
PT Boufounos, L Jacques, F Krahmer, R Saab
Compressed Sensing and its Applications: MATHEON Workshop 2013, 193-237, 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
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
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
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
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
Sigma-Delta Quantization Of Sub-Gaussian Frame Expansions and its Application to Compressed Sensing
F Krahmer, R Saab, Ö Yilmaz
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
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
Random vector functional link networks for function approximation on manifolds
D Needell, AA Nelson, R Saab, P Salanevich
arXiv preprint arXiv:2007.15776, 2020
Root-Exponential Accuracy for Coarse Quantization of Finite Frame Expansions
F Krahmer, R Saab, R Ward
Curvelet-based primary-multiple separation from a Bayesian perspective
R Saab, D Wang, O Yilmaz, FJ Herrmann
Society of Exploration Geophysicists, 2007
Noise-shaping quantization methods for frame-based and compressive sampling systems
E Chou, CS Güntürk, F Krahmer, R Saab, Ö Yılmaz
Sampling Theory, a Renaissance: Compressive Sensing and Other Developments …, 2015
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