Michael B. Wakin

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 91

Top Venues

CoRR

IEEE Trans. Signal Process.

ICASSP

ACSSC

Publications

Dan Rosen, Michael B. Wakin
Bivariate retrieval from intensity of cross-correlation. Signal Process. 215 (2024)
Zhen Qin, Michael B. Wakin, Zhihui Zhu
Guaranteed Nonconvex Factorization Approach for Tensor Train Recovery. CoRR (2024)
Zhen Qin, Casey Jameson, Zhexuan Gong, Michael B. Wakin, Zhihui Zhu
Stable Tomography for Structured Quantum States. CoRR (2023)
Anna Titova, Michael B. Wakin, Ali C. Tura
Achieving Robust Compressive Sensing Seismic Acquisition with a Two-Step Sampling Approach. Sensors 23 (23) (2023)
Yifan Wu, Michael B. Wakin, Peter Gerstoft
Gridless DOA Estimation With Multiple Frequencies. IEEE Trans. Signal Process. 71 (2023)
Justin Jayne, Michael B. Wakin, Roel Snieder
Green's function estimation by seismic interferometry from limited frequency samples. Signal Process. 205 (2023)
Marc Andrew Valdez, Alex J. Yuffa, Michael B. Wakin
Restricted Domain Compressive Sensing for Antenna Metrology. CoRR (2022)
Yifan Wu, Michael B. Wakin, Peter Gerstoft
Gridless DOA Estimation Under the Multi-Frequency Model. ICASSP (2022)
Zhen Qin, Alexander Lidiak, Zhexuan Gong, Gongguo Tang, Michael B. Wakin, Zhihui Zhu
Error Analysis of Tensor-Train Cross Approximation. NeurIPS (2022)
Marc Andrew Valdez, Alex J. Yuffa, Michael B. Wakin
Compressive Sensing With Wigner $D$-Functions on Subsets of the Sphere. IEEE Trans. Signal Process. 70 (2022)
Roel Snieder, Michael B. Wakin
When Randomness Helps in Undersampling. SIAM Rev. 64 (4) (2022)
Shuang Li, Gongguo Tang, Michael B. Wakin
Landscape Correspondence of Empirical and Population Risks in the Eigendecomposition Problem. IEEE Trans. Signal Process. 70 (2022)
Zhen Qin, Alexander Lidiak, Zhexuan Gong, Gongguo Tang, Michael B. Wakin, Zhihui Zhu
Error Analysis of Tensor-Train Cross Approximation. CoRR (2022)
Shuang Li, Payam Nayeri, Michael B. Wakin
Digital Beamforming Robust to Time-Varying Carrier Frequency Offset. CoRR (2021)
Zhihui Zhu, Qiuwei Li, Gongguo Tang, Michael B. Wakin
The Global Optimization Geometry of Low-Rank Matrix Optimization. IEEE Trans. Inf. Theory 67 (2) (2021)
Youye Xie, Michael B. Wakin, Gongguo Tang
Data-driven Parameter Estimation Of Contaminated Damped Exponentials. ACSCC (2021)
Youye Xie, Michael B. Wakin, Gongguo Tang
Data-driven Support Recovery for Sparse Signals with Non-stationary Modulation. ICMLA (2021)
Shuang Li, Gongguo Tang, Michael B. Wakin
Landscape Correspondence of Empirical and Population Risks in the Eigendecomposition Problem. CoRR (2021)
Shuang Li, Michael B. Wakin
Recovery Guarantees for Time-varying Pairwise Comparison Matrices with Non-transitivity. CoRR (2021)
Youye Xie, Michael B. Wakin, Gongguo Tang
Contaminated Multiband Signal Identification Via Deep Learning. SSP (2021)
Shuang Li, Michael B. Wakin, Gongguo Tang
Atomic Norm Denoising for Complex Exponentials With Unknown Waveform Modulations. IEEE Trans. Inf. Theory 66 (6) (2020)
Shuang Li, Qiuwei Li, Zhihui Zhu, Gongguo Tang, Michael B. Wakin
The Global Geometry of Centralized and Distributed Low-rank Matrix Recovery Without Regularization. IEEE Signal Process. Lett. 27 (2020)
Zhihui Zhu, Daniel Soudry, Yonina C. Eldar, Michael B. Wakin
The Global Optimization Geometry of Shallow Linear Neural Networks. J. Math. Imaging Vis. 62 (3) (2020)
Youye Xie, Michael B. Wakin, Gongguo Tang
Support Recovery for Sparse Signals With Unknown Non-Stationary Modulation. IEEE Trans. Signal Process. 68 (2020)
Shuang Li, Stephen Becker, Michael B. Wakin
Nuclear Norm Based Spectrum Estimation for Molecular Dynamic Simulations. ACSSC (2020)
Qiuwei Li, Zhihui Zhu, Gongguo Tang, Michael B. Wakin
The Geometry of Equality-constrained Global Consensus Problems. ICASSP (2019)
Shuang Li, Gongguo Tang, Michael B. Wakin
Simultaneous Blind Deconvolution and Phase Retrieval with Tensor Iterative Hard Thresholding. ICASSP (2019)
Jonathan Helland, Michael B. Wakin, Gongguo Tang
A Super-Resolution Algorithm for Extended Target Localization. CAMSAP (2019)
Youye Xie, Michael B. Wakin, Gongguo Tang
Simultaneous Sparse Recovery and Blind Demodulation. IEEE Trans. Signal Process. 67 (19) (2019)
Youye Xie, Michael B. Wakin, Gongguo Tang
Support Recovery for Sparse Recovery and Non-stationary Blind Demodulation. ACSSC (2019)
Youye Xie, Michael B. Wakin, Gongguo Tang
Simultaneous Sparse Recovery and Blind Demodulation. CoRR (2019)
Zhihui Zhu, Qiuwei Li, Xinshuo Yang, Gongguo Tang, Michael B. Wakin
Distributed Low-rank Matrix Factorization With Exact Consensus. NeurIPS (2019)
Youye Xie, Michael B. Wakin, Gongguo Tang
Support Recovery for Sparse Signals with Non-stationary Modulation. CoRR (2019)
Farhad Pourkamali-Anaraki, Michael B. Wakin
The Effectiveness of Variational Autoencoders for Active Learning. CoRR (2019)
Shuang Li, Gongguo Tang, Michael B. Wakin
The Landscape of Non-convex Empirical Risk with Degenerate Population Risk. NeurIPS (2019)
Armin Eftekhari, Gregory Ongie, Laura Balzano, Michael B. Wakin
Streaming Principal Component Analysis From Incomplete Data. J. Mach. Learn. Res. 20 (2019)
Shuang Li, Michael B. Wakin, Gongguo Tang
Atomic Norm Denoising for Complex Exponentials with Unknown Waveform Modulations. CoRR (2019)
Qiuwei Li, Xinshuo Yang, Zhihui Zhu, Gongguo Tang, Michael B. Wakin
The Geometric Effects of Distributing Constrained Nonconvex Optimization Problems. CAMSAP (2019)
Youye Xie, Michael B. Wakin, Gongguo Tang
Sparse Recovery and Non-stationary Blind Demodulation. ICASSP (2019)
Qiuwei Li, Zhihui Zhu, Gongguo Tang, Michael B. Wakin
Provable Bregman-divergence based Methods for Nonconvex and Non-Lipschitz Problems. CoRR (2019)
Qiuwei Li, Zhihui Zhu, Michael B. Wakin, Gongguo Tang
The Local Geometry of Orthogonal Dictionary Learning using L1 Minimization. ACSSC (2019)
Shuang Li, Gongguo Tang, Michael B. Wakin
The Landscape of Non-convex Empirical Risk with Degenerate Population Risk. CoRR (2019)
Zhihui Zhu, Santhosh Karnik, Michael B. Wakin, Mark A. Davenport, Justin Romberg
ROAST: Rapid Orthogonal Approximate Slepian Transform. IEEE Trans. Signal Process. 66 (22) (2018)
Farhad Pourkamali-Anaraki, Stephen Becker, Michael B. Wakin
Randomized Clustered Nystrom for Large-Scale Kernel Machines. AAAI (2018)
Shuang Li, Dehui Yang, Gongguo Tang, Michael B. Wakin
Atomic Norm Minimization for Modal Analysis From Random and Compressed Samples. IEEE Trans. Signal Process. 66 (7) (2018)
Zhihui Zhu, Santhosh Karnik, Mark A. Davenport, Justin Romberg, Michael B. Wakin
The Eigenvalue Distribution of Discrete Periodic Time-Frequency Limiting Operators. IEEE Signal Process. Lett. 25 (1) (2018)
Zhihui Zhu, Qiuwei Li, Gongguo Tang, Michael B. Wakin
Global Optimality in Low-Rank Matrix Optimization. IEEE Trans. Signal Process. 66 (13) (2018)
Armin Eftekhari, Dehui Yang, Michael B. Wakin
Weighted Matrix Completion and Recovery With Prior Subspace Information. IEEE Trans. Inf. Theory 64 (6) (2018)
Zhihui Zhu, Qiuwei Li, Gongguo Tang, Michael B. Wakin
Global Optimality in Distributed Low-rank Matrix Factorization. CoRR (2018)
Shuang Li, Hassan Mansour, Michael B. Wakin
An Optimization View of MUSIC and Its Extension to Missing Data. CoRR (2018)
Zhihui Zhu, Daniel Soudry, Yonina C. Eldar, Michael B. Wakin
The Global Optimization Geometry of Shallow Linear Neural Networks. CoRR (2018)
Armin Eftekhari, Michael B. Wakin, Ping Li, Paul G. Constantine, Rachel A. Ward
Learning the second-moment matrix of a smooth function from point samples. ACSSC (2017)
Zhihui Zhu, Santhosh Karnik, Mark A. Davenport, Justin Romberg, Michael B. Wakin
The Eigenvalue Distribution of Discrete Periodic Time-Frequency Limiting Operators. CoRR (2017)
Zhihui Zhu, Santhosh Karnik, Michael B. Wakin, Mark A. Davenport, Justin K. Romberg
Fast orthogonal approximations of sampled sinusoids and bandlimited signals. ICASSP (2017)
Zhihui Zhu, Qiuwei Li, Gongguo Tang, Michael B. Wakin
Global optimality in low-rank matrix optimization. GlobalSIP (2017)
Armin Eftekhari, Laura Balzano, Michael B. Wakin
What to Expect When You Are Expecting on the Grassmannian. IEEE Signal Process. Lett. 24 (6) (2017)
Zhihui Zhu, Santhosh Karnik, Michael B. Wakin, Mark A. Davenport, Justin Romberg
ROAST: Rapid Orthogonal Approximate Slepian Transform. CoRR (2017)
Shuang Li, Dehui Yang, Michael B. Wakin
Atomic norm minimization for modal analysis with random spatial compression. ICASSP (2017)
Shuang Li, Dehui Yang, Gongguo Tang, Michael B. Wakin
Atomic Norm Minimization for Modal Analysis from Random and Compressed Samples. CoRR (2017)
Zhihui Zhu, Michael B. Wakin
Time-Limited Toeplitz Operators on Abelian Groups: Applications in Information Theory and Subspace Approximation. CoRR (2017)
Zhihui Zhu, Qiuwei Li, Gongguo Tang, Michael B. Wakin
Global Optimality in Low-rank Matrix Optimization. CoRR (2017)
Zhihui Zhu, Dehui Yang, Michael B. Wakin, Gongguo Tang
A super-resolution algorithm for multiband signal identification. ACSSC (2017)
Zhihui Zhu, Manuel Lopez-Santillana, Michael B. Wakin
Super-Resolution of complex exponentials from modulations with known waveforms. CAMSAP (2017)
Zhihui Zhu, Michael B. Wakin
On the Asymptotic Equivalence of Circulant and Toeplitz Matrices. IEEE Trans. Inf. Theory 63 (5) (2017)
Zhihui Zhu, Qiuwei Li, Gongguo Tang, Michael B. Wakin
The Global Optimization Geometry of Nonsymmetric Matrix Factorization and Sensing. CoRR (2017)
Richard G. Baraniuk, Thomas Goldstein, Aswin C. Sankaranarayanan, Christoph Studer, Ashok Veeraraghavan, Michael B. Wakin
Compressive Video Sensing: Algorithms, architectures, and applications. IEEE Signal Process. Mag. 34 (1) (2017)
Youye Xie, Shuang Li, Gongguo Tang, Michael B. Wakin
Radar signal demixing via convex optimization. DSP (2017)
Armin Eftekhari, Michael B. Wakin
What Happens to a Manifold Under a Bi-Lipschitz Map? Discret. Comput. Geom. 57 (3) (2017)
Qiuwei Li, Shuang Li, Hassan Mansour, Michael B. Wakin, Dehui Yang, Zhihui Zhu
Jazz: A companion to music for frequency estimation with missing data. ICASSP (2017)
Armin Eftekhari, Ping Li, Michael B. Wakin, Rachel A. Ward
Learning the Differential Correlation Matrix of a Smooth Function From Point Samples. CoRR (2016)
Chia Wei Lim, Michael B. Wakin
Reconstruction of Frequency Hopping Signals From Multi-Coset Samples. CoRR (2016)
Zhihui Zhu, Gongguo Tang, Pawan Setlur, Sandeep Gogineni, Michael B. Wakin, Muralidhar Rangaswamy
Super-resolution in SAR imaging: Analysis with the atomic norm. SAM (2016)
Dehui Yang, Gongguo Tang, Michael B. Wakin
Non-stationary blind super-resolution. ICASSP (2016)
Marc J. Rubin, Michael B. Wakin, Tracy Camp
Lossy Compression for Wireless Seismic Data Acquisition. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9 (1) (2016)
Armin Eftekhari, Laura Balzano, Michael B. Wakin
What to Expect When You Are Expecting on the Grassmannian. CoRR (2016)
Armin Eftekhari, Laura Balzano, Dehui Yang, Michael B. Wakin
SNIPE for Memory-Limited PCA From Incomplete Data. CoRR (2016)
Dehui Yang, Gongguo Tang, Michael B. Wakin
Super-Resolution of Complex Exponentials from Modulations with Unknown Waveforms. CoRR (2016)
Dehui Yang, Gongguo Tang, Michael B. Wakin
Super-Resolution of Complex Exponentials From Modulations With Unknown Waveforms. IEEE Trans. Inf. Theory 62 (10) (2016)
Michael B. Wakin, Rémi Gribonval, Visa Koivunen, Justin K. Romberg, John Wright
Introduction to the Issue on Structured Matrices in Signal and Data Processing. IEEE J. Sel. Top. Signal Process. 10 (4) (2016)
Santhosh Karnik, Zhihui Zhu, Michael B. Wakin, Justin K. Romberg, Mark A. Davenport
Fast computations for approximation and compression in Slepian spaces. GlobalSIP (2016)
Shuang Li, Dehui Yang, Michael B. Wakin
Atomic norm minimization for modal analysis. ICME Workshops (2016)
Zhihui Zhu, Michael B. Wakin
On the Asymptotic Equivalence of Circulant and Toeplitz Matrices. CoRR (2016)
Armin Eftekhari, Michael B. Wakin, Rachel A. Ward
MC^2: A Two-Phase Algorithm for Leveraged Matrix Completion. CoRR (2016)
Mohammad Babakmehr, Marcelo Godoy Simões, Michael B. Wakin, Farnaz Harirchi
Compressive Sensing-Based Topology Identification for Smart Grids. IEEE Trans. Ind. Informatics 12 (2) (2016)
Armin Eftekhari, Dehui Yang, Michael B. Wakin
Weighted Matrix Completion and Recovery with Prior Subspace Information. CoRR (2016)
Zhihui Zhu, Michael B. Wakin
Approximating Sampled Sinusoids and Multiband Signals Using Multiband Modulated DPSS Dictionaries. CoRR (2015)
Armin Eftekhari, Michael B. Wakin
What Happens to a Manifold Under a Bi-Lipschitz Map? CoRR (2015)
Armin Eftekhari, Michael B. Wakin
Greed is Super: A Fast Algorithm for Super-Resolution. CoRR (2015)
Mohammad Babakmehr, Marcelo Godoy Simões, Michael B. Wakin, Ahmed Al-Durra, Farnaz Harirchi
Smart grid topology identification using sparse recovery. IAS (2015)
Chia Wei Lim, Michael B. Wakin
Compressive Temporal Higher Order Cyclostationary Statistics. IEEE Trans. Signal Process. 63 (11) (2015)
Paul G. Constantine, Armin Eftekhari, Michael B. Wakin
Computing active subspaces efficiently with gradient sketching. CAMSAP (2015)
Borhan Molazem Sanandaji, Michael B. Wakin, Tyrone L. Vincent
Observability With Random Observations. IEEE Trans. Autom. Control. 59 (11) (2014)
Jae Young Park, Michael B. Wakin, Anna C. Gilbert
Modal Analysis With Compressive Measurements. IEEE Trans. Signal Process. 62 (7) (2014)
Marc J. Rubin, Michael B. Wakin, Tracy Camp
A Comparison of On-Mote Lossy Compression Algorithms for Wireless Seismic Data Acquisition. DCOSS (2014)
Chia Wei Lim, Michael B. Wakin
Technical Report: Compressive Temporal Higher Order Cyclostationary Statistics. CoRR (2014)
Han Lun Yap, Armin Eftekhari, Michael B. Wakin, Christopher J. Rozell
A first analysis of the stability of Takens' embedding. GlobalSIP (2014)
Chia Wei Lim, Michael B. Wakin
Recovery of Periodic Clustered Sparse signals from compressive measurements. GlobalSIP (2014)
Borhan Molazem Sanandaji, Tyrone L. Vincent, Michael B. Wakin
Concentration of Measure Inequalities for Toeplitz Matrices With Applications. IEEE Trans. Signal Process. 61 (1) (2013)
Marco F. Duarte, Michael B. Wakin, Dror Baron, Shriram Sarvotham, Richard G. Baraniuk
Measurement Bounds for Sparse Signal Ensembles via Graphical Models. IEEE Trans. Inf. Theory 59 (7) (2013)
Armin Eftekhari, Michael B. Wakin
Greed is super: A new iterative method for super-resolution. GlobalSIP (2013)

Michael B. Wakin.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Michael B. Wakin