Image Compression using an Efficient Edge Cartoon + Texture Model. - Michael B. Wakin; Justin K. Romberg; Hyeokho Choi; Richard G. Baraniuk (DCC, 2002)

Multiscale wedgelet image analysis: fast decompositions and modeling. - Justin K. Romberg; Michael B. Wakin; Richard G. Baraniuk (ICIP (3), 2002)

Rate-distortion optimized image compression using wedgelets. - Justin K. Romberg; Michael B. Wakin; Hyeokho Choi; Richard G. Baraniuk (ICIP (3), 2002)

Approximation and compression of piecewise smooth images using a wavelet/wedgelet geometric model. - Justin K. Romberg; Michael B. Wakin; Richard G. Baraniuk (ICIP (1), 2003)

Multiscale geometric image processing. - Justin K. Romberg; Michael B. Wakin; Richard G. Baraniuk (VCIP, 2003)

Non-redundant, linear-phase, semi-orthogonal, directional complex wavelets [image/video processing applications]. - Felix C. A. Fernandes; Michael B. Wakin; Richard G. Baraniuk (ICASSP (2), 2004)

Surflets: a sparse representation for multidimensional functions containing smooth discontinuities. - Venkat Chandrasekaran; Michael B. Wakin; Dror Baron; Richard G. Baraniuk (ISIT, 2004)

High-resolution navigation on non-differentiable image manifolds. - Michael B. Wakin; David L. Donoho; Hyeokho Choi; Richard G. Baraniuk (ICASSP (5), 2005)

Recovery of Jointly Sparse Signals from Few Random Projections. - Michael B. Wakin; Marco F. Duarte; Shriram Sarvotham; Dror Baron; Richard G. Baraniuk (NIPS, 2005)

A new compressive imaging camera architecture using optical-domain compression. - Dharmpal Takhar; Jason N. Laska; Michael B. Wakin; Marco F. Duarte; Dror Baron; Shriram Sarvotham; Kevin F. Kelly; Richard G. Baraniuk (Computational Imaging, 2006)

Sparse Signal Detection from Incoherent Projections. - Marco F. Duarte; Mark A. Davenport; Michael B. Wakin; Richard G. Baraniuk (ICASSP (3), 2006)

Random Filters for Compressive Sampling and Reconstruction. - Joel A. Tropp; Michael B. Wakin; Marco F. Duarte; Dror Baron; Richard G. Baraniuk (ICASSP (3), 2006)

Random Projections of Signal Manifolds. - Michael B. Wakin; Richard G. Baraniuk (ICASSP (5), 2006)

An Architecture for Compressive Imaging. - Michael B. Wakin; Jason N. Laska; Marco F. Duarte; Dror Baron; Shriram Sarvotham; Dharmpal Takhar; Kevin F. Kelly; Richard G. Baraniuk (ICIP, 2006)

Universal distributed sensing via random projections. - Marco F. Duarte; Michael B. Wakin; Dror Baron; Richard G. Baraniuk (IPSN, 2006)

Wavelet-domain approximation and compression of piecewise smooth images. - Michael B. Wakin; Justin K. Romberg; Hyeokho Choi; Richard G. Baraniuk (IEEE Trans. Image Process., 2006)

The smashed filter for compressive classification and target recognition. - Mark A. Davenport; Marco F. Duarte; Michael B. Wakin; Jason N. Laska; Dharmpal Takhar; Kevin F. Kelly; Richard G. Baraniuk (Computational Imaging, 2007)

Multiscale Random Projections for Compressive Classification. - Marco F. Duarte; Mark A. Davenport; Michael B. Wakin; Jason N. Laska; Dharmpal Takhar; Kevin F. Kelly; Richard G. Baraniuk (ICIP (6), 2007)

Sparse Signal and Image Recovery from Compressive Samples. - Emmanuel J. Candès; Nathaniel Braun; Michael B. Wakin (ISBI, 2007)

Random Projections for Manifold Learning. - Chinmay Hegde; Michael B. Wakin; Richard G. Baraniuk (NIPS, 2007)

Wavelet-domain compressive signal reconstruction using a Hidden Markov Tree model. - Marco F. Duarte; Michael B. Wakin; Richard G. Baraniuk (ICASSP, 2008)

An Introduction To Compressive Sampling. - Emmanuel J. Candès; Michael B. Wakin (IEEE Signal Process. Mag., 2008)

A multiscale framework for Compressive Sensing of video. - Jae Young Park; Michael B. Wakin (PCS, 2009)

A manifold lifting algorithm for multi-view compressive imaging. - Michael B. Wakin (PCS, 2009)

Distributed Compressive Sensing - Dror Baron; Marco F. Duarte; Michael B. Wakin; Shriram Sarvotham; Richard G. Baraniuk (CoRR, 2009)

Random Projections of Smooth Manifolds. - Richard G. Baraniuk; Michael B. Wakin (Found. Comput. Math., 2009)

Representation and Compression of Multidimensional Piecewise Functions Using Surflets. - Venkat Chandrasekaran; Michael B. Wakin; Dror Baron; Richard G. Baraniuk (IEEE Trans. Inf. Theory, 2009)

Concentration of measure inequalities for compressive Toeplitz matrices with applications to detection and system identification. - Borhan Molazem Sanandaji; Tyrone L. Vincent; Michael B. Wakin (CDC, 2010)

On the observability of linear systems from random, compressive measurements. - Michael B. Wakin; Borhan Molazem Sanandaji; Tyrone L. Vincent (CDC, 2010)

Concentration of measure for block diagonal matrices with repeated blocks. - Christopher J. Rozell; Han Lun Yap; Jae Young Park; Michael B. Wakin (CISS, 2010)

Concentration of measure for block diagonal measurement matrices. - Michael B. Wakin; Jae Young Park; Han Lun Yap; Christopher J. Rozell (ICASSP, 2010)

Signal Processing With Compressive Measurements. - Mark A. Davenport; Petros Boufounos; Michael B. Wakin; Richard G. Baraniuk (IEEE J. Sel. Top. Signal Process., 2010)

Low-Dimensional Models for Dimensionality Reduction and Signal Recovery: A Geometric Perspective. - Richard G. Baraniuk; Volkan Cevher; Michael B. Wakin (Proc. IEEE, 2010)

Analysis of orthogonal matching pursuit using the restricted isometry property. - Mark A. Davenport; Michael B. Wakin (IEEE Trans. Inf. Theory, 2010)

Exact topology identification of large-scale interconnected dynamical systems from compressive observations. - Borhan Molazem Sanandaji; Tyrone L. Vincent; Michael B. Wakin (ACC, 2011)

Compressive topology identification of interconnected dynamic systems via Clustered Orthogonal Matching Pursuit. - Borhan Molazem Sanandaji; Tyrone L. Vincent; Michael B. Wakin (CDC/ECC, 2011)

Compressive System Identification of LTI and LTV ARX models. - Borhan Molazem Sanandaji; Tyrone L. Vincent; Michael B. Wakin; Roland Tóth; Kameshwar Poolla (CDC/ECC, 2011)

The Restricted Isometry Property for block diagonal matrices. - Han Lun Yap; Armin Eftekhari; Michael B. Wakin; Christopher J. Rozell (CISS, 2011)

Stable manifold embeddings with operators satisfying the Restricted Isometry Property. - Han Lun Yap; Michael B. Wakin; Christopher J. Rozell (CISS, 2011)

Bounds on the Reconstruction of Sparse Signal Ensembles from Distributed Measurements - Marco F. Duarte; Michael B. Wakin; Dror Baron; Shriram Sarvotham; Richard G. Baraniuk (CoRR, 2011)

Compressive Sensing of Analog Signals Using Discrete Prolate Spheroidal Sequences - Mark A. Davenport; Michael B. Wakin (CoRR, 2011)

Recovering a Clipped Signal in Sparseland - Alejandro J. Weinstein; Michael B. Wakin (CoRR, 2011)

Learning Low-Dimensional Signal Models. - Lawrence Carin; Richard G. Baraniuk; Volkan Cevher; David B. Dunson; Michael I. Jordan; Guillermo Sapiro; Michael B. Wakin (IEEE Signal Process. Mag., 2011)

Sparse Image and Signal Processing: Wavelets, Curvelets, Morphological Diversity (Starck, J.-L., et al; 2010) [Book Reviews]. - Michael B. Wakin (IEEE Signal Process. Mag., 2011)

Concentration of Measure for Block Diagonal Matrices With Applications to Compressive Signal Processing. - Jae Young Park; Han Lun Yap; Christopher J. Rozell; Michael B. Wakin (IEEE Trans. Signal Process., 2011)

CoSaMP with redundant dictionaries. - Mark A. Davenport; Deanna Needell; Michael B. Wakin (ACSCC, 2012)

A tutorial on recovery conditions for compressive system identification of sparse channels. - Borhan Molazem Sanandaji; Tyrone L. Vincent; Kameshwar Poolla; Michael B. Wakin (CDC, 2012)

Automatic modulation recognition for spectrum sensing using nonuniform compressive samples. - Chia Wei Lim; Michael B. Wakin (ICC, 2012)

A Tale of Four Libraries. - Alejandro J. Weinstein; Michael B. Wakin (SciPy, 2012)

Online search Orthogonal Matching Pursuit. - Alejandro J. Weinstein; Michael B. Wakin (SSP, 2012)

The Restricted Isometry Property for Random Block Diagonal Matrices - Armin Eftekhari; Han Lun Yap; Christopher J. Rozell; Michael B. Wakin (CoRR, 2012)

Sketched SVD: Recovering Spectral Features from Compressive Measurements - Anna C. Gilbert; Jae Young Park; Michael B. Wakin (CoRR, 2012)

A geometric approach to multi-view compressive imaging. - Jae Young Park; Michael B. Wakin (EURASIP J. Adv. Signal Process., 2012)

A Nonuniform Sampler for Wideband Spectrally-Sparse Environments. - Michael B. Wakin; Stephen Becker; Eric B. Nakamura; Michael C. Grant; Emilio A. Sovero; Daniel Ching; Juhwan Yoo; Justin K. Romberg; Azita Emami-Neyestanak; Emmanuel J. Candès (IEEE J. Emerg. Sel. Topics Circuits Syst., 2012)

A Compressed Sensing Parameter Extraction Platform for Radar Pulse Signal Acquisition. - Juhwan Yoo; Christopher K. Turnes; Eric B. Nakamura; Chi K. Le; Stephen Becker; Emilio A. Sovero; Michael B. Wakin; Michael C. Grant; Justin K. Romberg; Azita Emami-Neyestanak; Emmanuel J. Candès (IEEE J. Emerg. Sel. Topics Circuits Syst., 2012)

Greed is super: A new iterative method for super-resolution. - Armin Eftekhari; Michael B. Wakin (GlobalSIP, 2013)

New Analysis of Manifold Embeddings and Signal Recovery from Compressive Measurements. - Armin Eftekhari; Michael B. Wakin (CoRR, 2013)

Multiscale algorithm for reconstructing videos from streaming compressive measurements. - Jae Young Park; Michael B. Wakin (J. Electronic Imaging, 2013)

Stable Manifold Embeddings With Structured Random Matrices. - Han Lun Yap; Michael B. Wakin; Christopher J. Rozell (IEEE J. Sel. Top. Signal Process., 2013)

Signal Space CoSaMP for Sparse Recovery With Redundant Dictionaries. - Mark A. Davenport; Deanna Needell; Michael B. Wakin (IEEE Trans. Inf. Theory, 2013)

Measurement Bounds for Sparse Signal Ensembles via Graphical Models. - Marco F. Duarte; Michael B. Wakin; Dror Baron; Shriram Sarvotham; Richard G. Baraniuk (IEEE Trans. Inf. Theory, 2013)

Matched Filtering From Limited Frequency Samples. - Armin Eftekhari; Justin K. Romberg; Michael B. Wakin (IEEE Trans. Inf. Theory, 2013)

Concentration of Measure Inequalities for Toeplitz Matrices With Applications. - Borhan Molazem Sanandaji; Tyrone L. Vincent; Michael B. Wakin (IEEE Trans. Signal Process., 2013)

A Comparison of On-Mote Lossy Compression Algorithms for Wireless Seismic Data Acquisition. - Marc J. Rubin; Michael B. Wakin; Tracy Camp (DCOSS, 2014)

Recovery of Periodic Clustered Sparse signals from compressive measurements. - Chia Wei Lim; Michael B. Wakin (GlobalSIP, 2014)

A first analysis of the stability of Takens' embedding. - Han Lun Yap; Armin Eftekhari; Michael B. Wakin; Christopher J. Rozell (GlobalSIP, 2014)

Technical Report: Compressive Temporal Higher Order Cyclostationary Statistics. - Chia Wei Lim; Michael B. Wakin (CoRR, 2014)

Observability With Random Observations. - Borhan Molazem Sanandaji; Michael B. Wakin; Tyrone L. Vincent (IEEE Trans. Autom. Control., 2014)

Modal Analysis With Compressive Measurements. - Jae Young Park; Michael B. Wakin; Anna C. Gilbert (IEEE Trans. Signal Process., 2014)

Computing active subspaces efficiently with gradient sketching. - Paul G. Constantine; Armin Eftekhari; Michael B. Wakin (CAMSAP, 2015)

Smart grid topology identification using sparse recovery. - Mohammad Babakmehr; Marcelo Godoy Simões; Michael B. Wakin; Ahmed Al-Durra; Farnaz Harirchi (IAS, 2015)

Greed is Super: A Fast Algorithm for Super-Resolution. - Armin Eftekhari; Michael B. Wakin (CoRR, 2015)

Approximating Sampled Sinusoids and Multiband Signals Using Multiband Modulated DPSS Dictionaries. - Zhihui Zhu; Michael B. Wakin (CoRR, 2015)

Compressive Temporal Higher Order Cyclostationary Statistics. - Chia Wei Lim; Michael B. Wakin (IEEE Trans. Signal Process., 2015)

Fast computations for approximation and compression in Slepian spaces. - Santhosh Karnik; Zhihui Zhu; Michael B. Wakin; Justin K. Romberg; Mark A. Davenport (GlobalSIP, 2016)

Non-stationary blind super-resolution. - Dehui Yang; Gongguo Tang; Michael B. Wakin (ICASSP, 2016)

Atomic norm minimization for modal analysis. - Shuang Li 003; Dehui Yang; Michael B. Wakin (ICME Workshops, 2016)

Super-resolution in SAR imaging: Analysis with the atomic norm. - Zhihui Zhu; Gongguo Tang; Pawan Setlur; Sandeep Gogineni; Michael B. Wakin; Muralidhar Rangaswamy (SAM, 2016)

SNIPE for Memory-Limited PCA From Incomplete Data. - Armin Eftekhari; Laura Balzano; Dehui Yang; Michael B. Wakin (CoRR, 2016)

Learning the Differential Correlation Matrix of a Smooth Function From Point Samples. - Armin Eftekhari; Ping Li 001; Michael B. Wakin; Rachel A. Ward (CoRR, 2016)

MC^2: A Two-Phase Algorithm for Leveraged Matrix Completion. - Armin Eftekhari; Michael B. Wakin; Rachel A. Ward (CoRR, 2016)

Reconstruction of Frequency Hopping Signals From Multi-Coset Samples. - Chia Wei Lim; Michael B. Wakin (CoRR, 2016)

Introduction to the Issue on Structured Matrices in Signal and Data Processing. - Michael B. Wakin; Rémi Gribonval; Visa Koivunen; Justin K. Romberg; John Wright 001 (IEEE J. Sel. Top. Signal Process., 2016)

Lossy Compression for Wireless Seismic Data Acquisition. - Marc J. Rubin; Michael B. Wakin; Tracy Camp (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Compressive Sensing-Based Topology Identification for Smart Grids. - Mohammad Babakmehr; Marcelo Godoy Simões; Michael B. Wakin; Farnaz Harirchi (IEEE Trans. Ind. Informatics, 2016)

Super-Resolution of Complex Exponentials From Modulations With Unknown Waveforms. - Dehui Yang; Gongguo Tang; Michael B. Wakin (IEEE Trans. Inf. Theory, 2016)

Learning the second-moment matrix of a smooth function from point samples. - Armin Eftekhari; Michael B. Wakin; Ping Li 001; Paul G. Constantine; Rachel A. Ward (ACSSC, 2017)

A super-resolution algorithm for multiband signal identification. - Zhihui Zhu; Dehui Yang; Michael B. Wakin; Gongguo Tang (ACSSC, 2017)

Super-Resolution of complex exponentials from modulations with known waveforms. - Zhihui Zhu; Manuel Lopez-Santillana; Michael B. Wakin (CAMSAP, 2017)

Jazz: A companion to music for frequency estimation with missing data. - Qiuwei Li; Shuang Li 003; Hassan Mansour; Michael B. Wakin; Dehui Yang; Zhihui Zhu (ICASSP, 2017)

Atomic norm minimization for modal analysis with random spatial compression. - Shuang Li 003; Dehui Yang; Michael B. Wakin (ICASSP, 2017)

Fast orthogonal approximations of sampled sinusoids and bandlimited signals. - Zhihui Zhu; Santhosh Karnik; Michael B. Wakin; Mark A. Davenport; Justin K. Romberg (ICASSP, 2017)

Radar signal demixing via convex optimization. - Youye Xie; Shuang Li 003; Gongguo Tang; Michael B. Wakin (DSP, 2017)

The Global Optimization Geometry of Nonsymmetric Matrix Factorization and Sensing. - Zhihui Zhu; Qiuwei Li; Gongguo Tang; Michael B. Wakin (CoRR, 2017)

Time-Limited Toeplitz Operators on Abelian Groups: Applications in Information Theory and Subspace Approximation. - Zhihui Zhu; Michael B. Wakin (CoRR, 2017)

What Happens to a Manifold Under a Bi-Lipschitz Map? - Armin Eftekhari; Michael B. Wakin (Discret. Comput. Geom., 2017)

What to Expect When You Are Expecting on the Grassmannian. - Armin Eftekhari; Laura Balzano; Michael B. Wakin (IEEE Signal Process. Lett., 2017)

Compressive Video Sensing: Algorithms, architectures, and applications. - Richard G. Baraniuk; Thomas A. Goldstein; Aswin C. Sankaranarayanan; Christoph Studer; Ashok Veeraraghavan; Michael B. Wakin (IEEE Signal Process. Mag., 2017)

On the Asymptotic Equivalence of Circulant and Toeplitz Matrices. - Zhihui Zhu; Michael B. Wakin (IEEE Trans. Inf. Theory, 2017)

Randomized Clustered Nystrom for Large-Scale Kernel Machines. - Farhad Pourkamali-Anaraki; Stephen Becker; Michael B. Wakin (AAAI, 2018)

An Optimization View of MUSIC and Its Extension to Missing Data. - Shuang Li 003; Hassan Mansour; Michael B. Wakin (CoRR, 2018)

Global Optimality in Distributed Low-rank Matrix Factorization. - Zhihui Zhu; Qiuwei Li; Gongguo Tang; Michael B. Wakin (CoRR, 2018)

The Eigenvalue Distribution of Discrete Periodic Time-Frequency Limiting Operators. - Zhihui Zhu; Santhosh Karnik; Mark A. Davenport; Justin Romberg; Michael B. Wakin (IEEE Signal Process. Lett., 2018)

Weighted Matrix Completion and Recovery With Prior Subspace Information. - Armin Eftekhari; Dehui Yang; Michael B. Wakin (IEEE Trans. Inf. Theory, 2018)

Atomic Norm Minimization for Modal Analysis From Random and Compressed Samples. - Shuang Li 003; Dehui Yang; Gongguo Tang; Michael B. Wakin (IEEE Trans. Signal Process., 2018)

ROAST: Rapid Orthogonal Approximate Slepian Transform. - Zhihui Zhu; Santhosh Karnik; Michael B. Wakin; Mark A. Davenport; Justin Romberg (IEEE Trans. Signal Process., 2018)

Global Optimality in Low-Rank Matrix Optimization. - Zhihui Zhu; Qiuwei Li; Gongguo Tang; Michael B. Wakin (IEEE Trans. Signal Process., 2018)

The Local Geometry of Orthogonal Dictionary Learning using L1 Minimization. - Qiuwei Li; Zhihui Zhu; Michael B. Wakin; Gongguo Tang (ACSSC, 2019)

Support Recovery for Sparse Recovery and Non-stationary Blind Demodulation. - Youye Xie; Michael B. Wakin; Gongguo Tang (ACSSC, 2019)

A Super-Resolution Algorithm for Extended Target Localization. - Jonathan Helland; Michael B. Wakin; Gongguo Tang (CAMSAP, 2019)

The Geometric Effects of Distributing Constrained Nonconvex Optimization Problems. - Qiuwei Li; Xinshuo Yang; Zhihui Zhu; Gongguo Tang; Michael B. Wakin (CAMSAP, 2019)

Simultaneous Blind Deconvolution and Phase Retrieval with Tensor Iterative Hard Thresholding. - Shuang Li 003; Gongguo Tang; Michael B. Wakin (ICASSP, 2019)

The Geometry of Equality-constrained Global Consensus Problems. - Qiuwei Li; Zhihui Zhu; Gongguo Tang; Michael B. Wakin (ICASSP, 2019)

Sparse Recovery and Non-stationary Blind Demodulation. - Youye Xie; Michael B. Wakin; Gongguo Tang (ICASSP, 2019)

The Landscape of Non-convex Empirical Risk with Degenerate Population Risk. - Shuang Li 003; Gongguo Tang; Michael B. Wakin (NeurIPS, 2019)

Distributed Low-rank Matrix Factorization With Exact Consensus. - Zhihui Zhu; Qiuwei Li; Xinshuo Yang; Gongguo Tang; Michael B. Wakin (NeurIPS, 2019)

Provable Bregman-divergence based Methods for Nonconvex and Non-Lipschitz Problems. - Qiuwei Li; Zhihui Zhu; Gongguo Tang; Michael B. Wakin (CoRR, 2019)

Support Recovery for Sparse Signals with Non-stationary Modulation. - Youye Xie; Michael B. Wakin; Gongguo Tang (CoRR, 2019)

The Effectiveness of Variational Autoencoders for Active Learning. - Farhad Pourkamali-Anaraki; Michael B. Wakin (CoRR, 2019)

Streaming Principal Component Analysis From Incomplete Data. - Armin Eftekhari; Gregory Ongie; Laura Balzano; Michael B. Wakin (J. Mach. Learn. Res., 2019)

Simultaneous Sparse Recovery and Blind Demodulation. - Youye Xie; Michael B. Wakin; Gongguo Tang (IEEE Trans. Signal Process., 2019)

Nuclear Norm Based Spectrum Estimation for Molecular Dynamic Simulations. - Shuang Li 003; Stephen Becker; Michael B. Wakin (ACSSC, 2020)

The Global Optimization Geometry of Shallow Linear Neural Networks. - Zhihui Zhu; Daniel Soudry; Yonina C. Eldar; Michael B. Wakin (J. Math. Imaging Vis., 2020)

The Global Geometry of Centralized and Distributed Low-rank Matrix Recovery Without Regularization. - Shuang Li 003; Qiuwei Li; Zhihui Zhu; Gongguo Tang; Michael B. Wakin (IEEE Signal Process. Lett., 2020)

Atomic Norm Denoising for Complex Exponentials With Unknown Waveform Modulations. - Shuang Li 003; Michael B. Wakin; Gongguo Tang (IEEE Trans. Inf. Theory, 2020)

Support Recovery for Sparse Signals With Unknown Non-Stationary Modulation. - Youye Xie; Michael B. Wakin; Gongguo Tang (IEEE Trans. Signal Process., 2020)

Data-driven Parameter Estimation Of Contaminated Damped Exponentials. - Youye Xie; Michael B. Wakin; Gongguo Tang (ACSCC, 2021)

Data-driven Support Recovery for Sparse Signals with Non-stationary Modulation. - Youye Xie; Michael B. Wakin; Gongguo Tang (ICMLA, 2021)

Contaminated Multiband Signal Identification Via Deep Learning. - Youye Xie; Michael B. Wakin; Gongguo Tang (SSP, 2021)

Digital Beamforming Robust to Time-Varying Carrier Frequency Offset. - Shuang Li 003; Payam Nayeri; Michael B. Wakin (CoRR, 2021)

Recovery Guarantees for Time-varying Pairwise Comparison Matrices with Non-transitivity. - Shuang Li 003; Michael B. Wakin (CoRR, 2021)

The Global Optimization Geometry of Low-Rank Matrix Optimization. - Zhihui Zhu; Qiuwei Li; Gongguo Tang; Michael B. Wakin (IEEE Trans. Inf. Theory, 2021)

Gridless DOA Estimation Under the Multi-Frequency Model. - Yifan Wu; Michael B. Wakin; Peter Gerstoft (ICASSP, 2022)

Error Analysis of Tensor-Train Cross Approximation. - Zhen Qin; Alexander Lidiak; Zhexuan Gong; Gongguo Tang; Michael B. Wakin; Zhihui Zhu (NeurIPS, 2022)

Restricted Domain Compressive Sensing for Antenna Metrology. - Marc Andrew Valdez; Alex J. Yuffa; Michael B. Wakin (CoRR, 2022)

When Randomness Helps in Undersampling. - Roel Snieder; Michael B. Wakin (SIAM Rev., 2022)

Landscape Correspondence of Empirical and Population Risks in the Eigendecomposition Problem. - Shuang Li 003; Gongguo Tang; Michael B. Wakin (IEEE Trans. Signal Process., 2022)

Compressive Sensing With Wigner $D$-Functions on Subsets of the Sphere. - Marc Andrew Valdez; Alex J. Yuffa; Michael B. Wakin (IEEE Trans. Signal Process., 2022)

Stable Tomography for Structured Quantum States. - Zhen Qin; Casey Jameson; Zhexuan Gong; Michael B. Wakin; Zhihui Zhu (CoRR, 2023)

Guest Editorial Special Issue on Sensing: Fundamental Limits and Modern Applications. - Giuseppe Caire; Natasha Devroye; Elza Erkip; Yue Lu; Piya Pal; Mahyar Shirvanimoghaddam; A. Lee Swindlehurst; Michael B. Wakin; Michèle A. Wigger (IEEE J. Sel. Areas Inf. Theory, 2023)

Green's function estimation by seismic interferometry from limited frequency samples. - Justin Jayne; Michael B. Wakin; Roel Snieder (Signal Process., 2023)

Gridless DOA Estimation With Multiple Frequencies. - Yifan Wu; Michael B. Wakin; Peter Gerstoft (IEEE Trans. Signal Process., 2023)

Achieving Robust Compressive Sensing Seismic Acquisition with a Two-Step Sampling Approach. - Anna Titova; Michael B. Wakin; Ali C. Tura (Sensors, 2023)

Non-Uniform Frequency Spacing for Regularization-Free Gridless DOA. - Yifan Wu; Michael B. Wakin; Peter Gerstoft; Yongsung Park (ICASSP, 2024)

Atomic Norm Denoising for Multi-Frequency-Snapshot Doa Estimation. - Yongsung Park; Peter Gerstoft; Yifan Wu; Michael B. Wakin (SAM, 2024)

Guaranteed Nonconvex Factorization Approach for Tensor Train Recovery. - Zhen Qin; Michael B. Wakin; Zhihui Zhu (CoRR, 2024)

Sample-Optimal Quantum State Tomography for Structured Quantum States in One Dimension. - Zhen Qin; Casey Jameson; Alireza Goldar; Michael B. Wakin; Zhexuan Gong; Zhihui Zhu (CoRR, 2024)

Phase retrieval from integrated intensity of auto-convolution. - Dan Rosen; Daniel Scarbrough; Jeff Squier; Michael B. Wakin (Signal Process., 2024)

Non-Uniform Array and Frequency Spacing for Regularization-Free Gridless DOA. - Yifan Wu; Michael B. Wakin; Peter Gerstoft (IEEE Trans. Signal Process., 2024)

Bivariate retrieval from intensity of cross-correlation. - Dan Rosen; Michael B. Wakin (Signal Process., 2024)

Multi-Frequency Spherical Near-Field Antenna Measurements Using Compressive Sensing. - Marc Andrew Valdez; Jacob D. Rezac; Michael B. Wakin; Joshua A. Gordon (IEEE J. Sel. Top. Signal Process., 2024)

Quantum State Tomography for Matrix Product Density Operators. - Zhen Qin; Casey Jameson; Zhexuan Gong; Michael B. Wakin; Zhihui Zhu (IEEE Trans. Inf. Theory, 2024)

A Scalable Factorization Approach for High-Order Structured Tensor Recovery. - Zhen Qin; Michael B. Wakin; Zhihui Zhu (CoRR, 2025)