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WORK ON SPARSE/LOW-RANK APPROXIMATION AND COMPRESSED SENSING

BOOK CHAPTERS


Noise-shaping Quantization Methods for Frame-based and Compressive Sampling Systems [arXiv:1502.05807], with E. Chou, S. Gunturk, F. Krahmer and R. Saab, Chapter 4 in "Sampling Theory, A Renaissance" (edited by G. Pfander), pp. 157—184, Birkhäuser, Boston, 2015.  

JOURNAL PUBLICATIONS

Memoryless scalar quantization for random frames [arXiv:1804.02839], with K. Melnykova. Submitted.

Learning tensors from partial binary measurements [arXiv:1804.00108] [journal version], with N. Ghadermarzy and Y.Plan. IEEE Transactions on Signal Processing. Accepted. Available online. 

Near-optimal sample complexity for convex tensor completion [arXiv:1711.04965], with N. Ghadermarzy and Y. Plan. Information and Inference. Accepted.

From compressed sensing to compressed bit-streams: practical encoders, tractable decoders [arXiv:1604.00700] [journal version], with R. Saab and R. Wang. IEEE Transactions on Information Theory. 64 (2):60986114 (2018)   

Quantization of compressive samples with stable and robust recovery [arXiv:1504.00087], with R. Saab and R. Wang. Applied and Computational Harmonic Analysis. 44(1):123–143 (2018)

Off the grid low rank matrix recovery and seismic data reconstruction [abstract][journal version], with O. Lopez, R. Kumar, and F. Herrmann. IEEE Journal of Selected Topics in Signal Processing. 10 (4): 658--671 (2016

Non-Convex Compressed Sensing Using Partial Support Information [arXiv:1311.3773], with N. Ghadermarzy and H. Mansour. Journal of Sampling Theory in Signal and Image Processing. Accepted (2014).

Sigma-Delta quantization of sub-Gaussian frame expansions and its application to compressed sensing [arXiv:1306.4549][journal version], with F. Krahmer and R. Saab. Information and Inference. 3 (1):40–58 (2014)

Improved wavefield reconstruction from randomized sampling via weighted one-norm minimization [preprint version][journal version], with H. Mansour and F. Herrmann. Geophysics. 78(5) V193–V206 (2013)

Sobolev duals for random frames and sigma-delta quantization of compressed sensing measurements [preprint version][journal version], with S. Güntürk, M. Lammers, A. Powell, and R. Saab. Foundations of Computational Mathematics. 13(1):1–36 (2013).

Fighting the curse of dimensionality: compressive sensing in exploration seismology [preprint version][journal version], with M.P. Friedlander and F. Herrmann. IEEE Signal Processing Magazine, 29(3):88–100, 2012.

Recovering Compressively Sampled Signals Using Partial Support Information, [arXiv:1010.4612v1] [journal version] with M.P. Friedlander, H. Mansour, and R. Saab. IEEE Transactions on Information Theory, 58(2):1122-1134, 2012.

Sparse recovery by non-convex optimization -- instance optimality [preprint version] [journal version], with R. Saab, Applied and Computational Harmonic Analysis, 29(1):30-48, 2010.

SPARCO: A toolbox for testing sparse reconstruction algorithms [preprint version] [journal version], with E. van den Berg, M. P. Friedlander, G. Hennenfent, F. Herrmann, and R. Saab, ACM Transactions on Mathematical Software, 35(4):1-16, 2009.

Bayesian wavefield separation by transform-domain sparsity promotion [journal version], with D. Wang, R. Saab, and F. Herrmann, Geophysics, 73 (5):1-6,2008.

 

CONFERENCE PROCEEDINGS

Deterministic Compressed Sensing and Quantization [journal version], with A. Ahmadieh. SPIE Wavelets and Sparsity XVI, San Diego, Aug 2015.

Near-optimal compression for compressed sensing, with R. Saab and R. Wang, Data Compression Conference 2015 (DCC2015), accepted.

A sparse randomized Kaczmarz algorithm [journal version], with H. Mansour, Proceedings of IEEE Global Conference on Signal and Information Processing 2013.

Weighted approximate message passing algorithms for sparse recovery [journal version], with N. Ghadermarzy. SPIE Wavelets and Sparsity XV, San Diego, Aug 2013.

Sigma-Delta quantization of sub-Gaussian compressed sensing measurements [journal version], with F. Krahmer and R. Saab. Proceedings of International Conference on Sampling Theory and Applications (SampTA) 2013.

Support driven reweighted 1-norm minimization [preprint version][journal version], with H. Mansour, International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2012.

Adaptive compressed sensing for video acquisition [preprint version][journal version], with H. Mansour. International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2012.

Weighted 1-norm minimization with multiple weighting sets, [preprint version], with H. Mansour, SPIE Wavelets and Sparsity XIV, San Diego, Aug 2011.

Sigma-Delta quantization for compressed sensing [journal version], Proceedings of Conference on Information Sciences and Systems (CISS) 2010, with S. Güntürk, M. Lammers, A. Powell, and R. Saab.

Sobolev duals of random frames [journal version], Proceedings of Conference on Information Sciences and Systems (CISS) 2010, with S. Güntürk, M. Lammers, A. Powell, and R. Saab.

Stable Sparse Approximations via Nonconvex Optimization [preprint version], International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2008, with R. ]Saab and R. Chartrand.

Curvelet-based Primary-Multiple Separation from a Bayesian Perspective   [preprint version] Annual Meeting International Society Exploratory Geophysics, San Antonio, Texas, 2007, with R. Saab, D. Wang, and F. J. Herrmann.

Recent results in curvelet-based primary-multiple separation: application to real data [preprint version], Annual Meeting International Society Exploratory Geophysics, San Antonio, Texas, 2007, with R. Saab, D. Wang, and F. J. Herrmann.