Michael B. Wakin

177 papers A* 4B 4C 6Misc 19Journal 105Unranked 39

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Scalable Factorization Approach for High-Order Structured Tensor Recovery. CoRR Zhen Qin, Michael B. Wakin, Zhihui Zhu
2025	J	`jnl`	QA-VLM: Providing human-interpretable quality assessment for wire-feed laser additive manufacturing parts with Vision Language Models. CoRR Qiaojie Zheng, Jiucai Zhang, Joy Gockel, Michael B. Wakin, Craig Brice, Xiaoli Zhang
2024	—	`conf`	Atomic Norm Denoising for Multi-Frequency-Snapshot Doa Estimation. SAM Yongsung Park, Peter Gerstoft, Yifan Wu, Michael B. Wakin
2024	J	`jnl`	Bivariate retrieval from intensity of cross-correlation. Signal Process. Dan Rosen, Michael B. Wakin
2024	J	`jnl`	Guaranteed Nonconvex Factorization Approach for Tensor Train Recovery. CoRR Zhen Qin, Michael B. Wakin, Zhihui Zhu
2024	J	`jnl`	Guaranteed Nonconvex Factorization Approach for Tensor Train Recovery. J. Mach. Learn. Res. Zhen Qin, Michael B. Wakin, Zhihui Zhu
2024	J	`jnl`	Multi-Frequency Spherical Near-Field Antenna Measurements Using Compressive Sensing. IEEE J. Sel. Top. Signal Process. Marc Andrew Valdez, Jacob D. Rezac, Michael B. Wakin, Joshua A. Gordon
2024	J	`jnl`	Non-Uniform Array and Frequency Spacing for Regularization-Free Gridless DOA. IEEE Trans. Signal Process. Yifan Wu, Michael B. Wakin, Peter Gerstoft
2024	Misc	`conf`	Non-Uniform Frequency Spacing for Regularization-Free Gridless DOA. ICASSP Yifan Wu, Michael B. Wakin, Peter Gerstoft, Yongsung Park
2024	J	`jnl`	Phase retrieval from integrated intensity of auto-convolution. Signal Process. Dan Rosen, Daniel Scarbrough, Jeff Squier, Michael B. Wakin
2024	J	`jnl`	Quantum State Tomography for Matrix Product Density Operators. IEEE Trans. Inf. Theory Zhen Qin, Casey Jameson, Zhexuan Gong, Michael B. Wakin, Zhihui Zhu
2024	J	`jnl`	Sample-Optimal Quantum State Tomography for Structured Quantum States in One Dimension. CoRR Zhen Qin, Casey Jameson, Alireza Goldar, Michael B. Wakin, Zhexuan Gong, Zhihui Zhu
2023	J	`jnl`	Achieving Robust Compressive Sensing Seismic Acquisition with a Two-Step Sampling Approach. Sensors Anna Titova, Michael B. Wakin, Ali C. Tura
2023	J	`jnl`	Green's function estimation by seismic interferometry from limited frequency samples. Signal Process. Justin Jayne, Michael B. Wakin, Roel Snieder
2023	J	`jnl`	Gridless DOA Estimation With Multiple Frequencies. IEEE Trans. Signal Process. Yifan Wu, Michael B. Wakin, Peter Gerstoft
2023	J	`jnl`	Guest Editorial Special Issue on Sensing: Fundamental Limits and Modern Applications. IEEE J. Sel. Areas Inf. Theory Giuseppe Caire, Natasha Devroye, Elza Erkip, Yue Lu, Piya Pal, Mahyar Shirvanimoghaddam, A. Lee Swindlehurst, Michael B. Wakin, Michèle A. Wigger
2023	J	`jnl`	Stable Tomography for Structured Quantum States. CoRR Zhen Qin, Casey Jameson, Zhexuan Gong, Michael B. Wakin, Zhihui Zhu
2022	J	`jnl`	Compressive Sensing With Wigner $D$-Functions on Subsets of the Sphere. IEEE Trans. Signal Process. Marc Andrew Valdez, Alex J. Yuffa, Michael B. Wakin
2022	A*	`conf`	Error Analysis of Tensor-Train Cross Approximation. NeurIPS Zhen Qin, Alexander Lidiak, Zhexuan Gong, Gongguo Tang, Michael B. Wakin, Zhihui Zhu
2022	J	`jnl`	Error Analysis of Tensor-Train Cross Approximation. CoRR Zhen Qin, Alexander Lidiak, Zhexuan Gong, Gongguo Tang, Michael B. Wakin, Zhihui Zhu
2022	Misc	`conf`	Gridless DOA Estimation Under the Multi-Frequency Model. ICASSP Yifan Wu, Michael B. Wakin, Peter Gerstoft
2022	J	`jnl`	Landscape Correspondence of Empirical and Population Risks in the Eigendecomposition Problem. IEEE Trans. Signal Process. Shuang Li, Gongguo Tang, Michael B. Wakin
2022	J	`jnl`	Restricted Domain Compressive Sensing for Antenna Metrology. CoRR Marc Andrew Valdez, Alex J. Yuffa, Michael B. Wakin
2022	J	`jnl`	When Randomness Helps in Undersampling. SIAM Rev. Roel Snieder, Michael B. Wakin
2021	—	`conf`	Contaminated Multiband Signal Identification Via Deep Learning. SSP Youye Xie, Michael B. Wakin, Gongguo Tang
2021	—	`conf`	Data-driven Parameter Estimation Of Contaminated Damped Exponentials. ACSCC Youye Xie, Michael B. Wakin, Gongguo Tang
2021	C	`conf`	Data-driven Support Recovery for Sparse Signals with Non-stationary Modulation. ICMLA Youye Xie, Michael B. Wakin, Gongguo Tang
2021	J	`jnl`	Digital Beamforming Robust to Time-Varying Carrier Frequency Offset. CoRR Shuang Li, Payam Nayeri, Michael B. Wakin
2021	J	`jnl`	Landscape Correspondence of Empirical and Population Risks in the Eigendecomposition Problem. CoRR Shuang Li, Gongguo Tang, Michael B. Wakin
2021	J	`jnl`	Recovery Guarantees for Time-varying Pairwise Comparison Matrices with Non-transitivity. CoRR Shuang Li, Michael B. Wakin
2021	J	`jnl`	The Global Optimization Geometry of Low-Rank Matrix Optimization. IEEE Trans. Inf. Theory Zhihui Zhu, Qiuwei Li, Gongguo Tang, Michael B. Wakin
2020	J	`jnl`	Atomic Norm Denoising for Complex Exponentials With Unknown Waveform Modulations. IEEE Trans. Inf. Theory Shuang Li, Michael B. Wakin, Gongguo Tang
2020	Misc	`conf`	Nuclear Norm Based Spectrum Estimation for Molecular Dynamic Simulations. ACSSC Shuang Li, Stephen Becker, Michael B. Wakin
2020	J	`jnl`	Support Recovery for Sparse Signals With Unknown Non-Stationary Modulation. IEEE Trans. Signal Process. Youye Xie, Michael B. Wakin, Gongguo Tang
2020	J	`jnl`	The Global Geometry of Centralized and Distributed Low-rank Matrix Recovery Without Regularization. IEEE Signal Process. Lett. Shuang Li, Qiuwei Li, Zhihui Zhu, Gongguo Tang, Michael B. Wakin
2020	J	`jnl`	The Global Optimization Geometry of Shallow Linear Neural Networks. J. Math. Imaging Vis. Zhihui Zhu, Daniel Soudry, Yonina C. Eldar, Michael B. Wakin
2019	—	`conf`	A Super-Resolution Algorithm for Extended Target Localization. CAMSAP Jonathan Helland, Michael B. Wakin, Gongguo Tang
2019	J	`jnl`	Atomic Norm Denoising for Complex Exponentials with Unknown Waveform Modulations. CoRR Shuang Li, Michael B. Wakin, Gongguo Tang
2019	A*	`conf`	Distributed Low-rank Matrix Factorization With Exact Consensus. NeurIPS Zhihui Zhu, Qiuwei Li, Xinshuo Yang, Gongguo Tang, Michael B. Wakin
2019	J	`jnl`	Provable Bregman-divergence based Methods for Nonconvex and Non-Lipschitz Problems. CoRR Qiuwei Li, Zhihui Zhu, Gongguo Tang, Michael B. Wakin
2019	Misc	`conf`	Simultaneous Blind Deconvolution and Phase Retrieval with Tensor Iterative Hard Thresholding. ICASSP Shuang Li, Gongguo Tang, Michael B. Wakin
2019	J	`jnl`	Simultaneous Sparse Recovery and Blind Demodulation. CoRR Youye Xie, Michael B. Wakin, Gongguo Tang
2019	J	`jnl`	Simultaneous Sparse Recovery and Blind Demodulation. IEEE Trans. Signal Process. Youye Xie, Michael B. Wakin, Gongguo Tang
2019	Misc	`conf`	Sparse Recovery and Non-stationary Blind Demodulation. ICASSP Youye Xie, Michael B. Wakin, Gongguo Tang
2019	J	`jnl`	Streaming Principal Component Analysis From Incomplete Data. J. Mach. Learn. Res. Armin Eftekhari, Gregory Ongie, Laura Balzano, Michael B. Wakin
2019	Misc	`conf`	Support Recovery for Sparse Recovery and Non-stationary Blind Demodulation. ACSSC Youye Xie, Michael B. Wakin, Gongguo Tang
2019	J	`jnl`	Support Recovery for Sparse Signals with Non-stationary Modulation. CoRR Youye Xie, Michael B. Wakin, Gongguo Tang
2019	J	`jnl`	The Effectiveness of Variational Autoencoders for Active Learning. CoRR Farhad Pourkamali-Anaraki, Michael B. Wakin
2019	—	`conf`	The Geometric Effects of Distributing Constrained Nonconvex Optimization Problems. CAMSAP Qiuwei Li, Xinshuo Yang, Zhihui Zhu, Gongguo Tang, Michael B. Wakin
2019	Misc	`conf`	The Geometry of Equality-constrained Global Consensus Problems. ICASSP Qiuwei Li, Zhihui Zhu, Gongguo Tang, Michael B. Wakin
2019	A*	`conf`	The Landscape of Non-convex Empirical Risk with Degenerate Population Risk. NeurIPS Shuang Li, Gongguo Tang, Michael B. Wakin
2019	J	`jnl`	The Landscape of Non-convex Empirical Risk with Degenerate Population Risk. CoRR Shuang Li, Gongguo Tang, Michael B. Wakin
2019	Misc	`conf`	The Local Geometry of Orthogonal Dictionary Learning using L1 Minimization. ACSSC Qiuwei Li, Zhihui Zhu, Michael B. Wakin, Gongguo Tang
2018	J	`jnl`	An Optimization View of MUSIC and Its Extension to Missing Data. CoRR Shuang Li, Hassan Mansour, Michael B. Wakin
2018	J	`jnl`	Atomic Norm Minimization for Modal Analysis From Random and Compressed Samples. IEEE Trans. Signal Process. Shuang Li, Dehui Yang, Gongguo Tang, Michael B. Wakin
2018	J	`jnl`	Global Optimality in Distributed Low-rank Matrix Factorization. CoRR Zhihui Zhu, Qiuwei Li, Gongguo Tang, Michael B. Wakin
2018	J	`jnl`	Global Optimality in Low-Rank Matrix Optimization. IEEE Trans. Signal Process. Zhihui Zhu, Qiuwei Li, Gongguo Tang, Michael B. Wakin
2018	J	`jnl`	ROAST: Rapid Orthogonal Approximate Slepian Transform. IEEE Trans. Signal Process. Zhihui Zhu, Santhosh Karnik, Michael B. Wakin, Mark A. Davenport, Justin Romberg
2018	A*	`conf`	Randomized Clustered Nystrom for Large-Scale Kernel Machines. AAAI Farhad Pourkamali-Anaraki, Stephen Becker, Michael B. Wakin
2018	J	`jnl`	The Eigenvalue Distribution of Discrete Periodic Time-Frequency Limiting Operators. IEEE Signal Process. Lett. Zhihui Zhu, Santhosh Karnik, Mark A. Davenport, Justin Romberg, Michael B. Wakin
2018	J	`jnl`	The Global Optimization Geometry of Shallow Linear Neural Networks. CoRR Zhihui Zhu, Daniel Soudry, Yonina C. Eldar, Michael B. Wakin
2018	J	`jnl`	Weighted Matrix Completion and Recovery With Prior Subspace Information. IEEE Trans. Inf. Theory Armin Eftekhari, Dehui Yang, Michael B. Wakin
2017	Misc	`conf`	A super-resolution algorithm for multiband signal identification. ACSSC Zhihui Zhu, Dehui Yang, Michael B. Wakin, Gongguo Tang
2017	J	`jnl`	Atomic Norm Minimization for Modal Analysis from Random and Compressed Samples. CoRR Shuang Li, Dehui Yang, Gongguo Tang, Michael B. Wakin
2017	Misc	`conf`	Atomic norm minimization for modal analysis with random spatial compression. ICASSP Shuang Li, Dehui Yang, Michael B. Wakin
2017	J	`jnl`	Compressive Video Sensing: Algorithms, architectures, and applications. IEEE Signal Process. Mag. Richard G. Baraniuk, Thomas A. Goldstein, Aswin C. Sankaranarayanan, Christoph Studer, Ashok Veeraraghavan, Michael B. Wakin
2017	Misc	`conf`	Fast orthogonal approximations of sampled sinusoids and bandlimited signals. ICASSP Zhihui Zhu, Santhosh Karnik, Michael B. Wakin, Mark A. Davenport, Justin K. Romberg
2017	J	`jnl`	Global Optimality in Low-rank Matrix Optimization. CoRR Zhihui Zhu, Qiuwei Li, Gongguo Tang, Michael B. Wakin
2017	—	`conf`	Global optimality in low-rank matrix optimization. GlobalSIP Zhihui Zhu, Qiuwei Li, Gongguo Tang, Michael B. Wakin
2017	Misc	`conf`	Jazz: A companion to music for frequency estimation with missing data. ICASSP Qiuwei Li, Shuang Li, Hassan Mansour, Michael B. Wakin, Dehui Yang, Zhihui Zhu
2017	Misc	`conf`	Learning the second-moment matrix of a smooth function from point samples. ACSSC Armin Eftekhari, Michael B. Wakin, Ping Li, Paul G. Constantine, Rachel A. Ward
2017	J	`jnl`	On the Asymptotic Equivalence of Circulant and Toeplitz Matrices. IEEE Trans. Inf. Theory Zhihui Zhu, Michael B. Wakin
2017	J	`jnl`	ROAST: Rapid Orthogonal Approximate Slepian Transform. CoRR Zhihui Zhu, Santhosh Karnik, Michael B. Wakin, Mark A. Davenport, Justin Romberg
2017	—	`conf`	Radar signal demixing via convex optimization. DSP Youye Xie, Shuang Li, Gongguo Tang, Michael B. Wakin
2017	—	`conf`	Super-Resolution of complex exponentials from modulations with known waveforms. CAMSAP Zhihui Zhu, Manuel Lopez-Santillana, Michael B. Wakin
2017	J	`jnl`	The Eigenvalue Distribution of Discrete Periodic Time-Frequency Limiting Operators. CoRR Zhihui Zhu, Santhosh Karnik, Mark A. Davenport, Justin Romberg, Michael B. Wakin
2017	J	`jnl`	The Global Optimization Geometry of Nonsymmetric Matrix Factorization and Sensing. CoRR Zhihui Zhu, Qiuwei Li, Gongguo Tang, Michael B. Wakin
2017	J	`jnl`	Time-Limited Toeplitz Operators on Abelian Groups: Applications in Information Theory and Subspace Approximation. CoRR Zhihui Zhu, Michael B. Wakin
2017	J	`jnl`	What Happens to a Manifold Under a Bi-Lipschitz Map? Discret. Comput. Geom. Armin Eftekhari, Michael B. Wakin
2017	J	`jnl`	What to Expect When You Are Expecting on the Grassmannian. IEEE Signal Process. Lett. Armin Eftekhari, Laura Balzano, Michael B. Wakin
2016	—	`conf`	Atomic norm minimization for modal analysis. ICME Workshops Shuang Li, Dehui Yang, Michael B. Wakin
2016	J	`jnl`	Compressive Sensing-Based Topology Identification for Smart Grids. IEEE Trans. Ind. Informatics Mohammad Babakmehr, Marcelo Godoy Simões, Michael B. Wakin, Farnaz Harirchi
2016	—	`conf`	Fast computations for approximation and compression in Slepian spaces. GlobalSIP Santhosh Karnik, Zhihui Zhu, Michael B. Wakin, Justin K. Romberg, Mark A. Davenport
2016	J	`jnl`	Introduction to the Issue on Structured Matrices in Signal and Data Processing. IEEE J. Sel. Top. Signal Process. Michael B. Wakin, Rémi Gribonval, Visa Koivunen, Justin K. Romberg, John Wright
2016	J	`jnl`	Learning the Differential Correlation Matrix of a Smooth Function From Point Samples. CoRR Armin Eftekhari, Ping Li, Michael B. Wakin, Rachel A. Ward
2016	J	`jnl`	Lossy Compression for Wireless Seismic Data Acquisition. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Marc J. Rubin, Michael B. Wakin, Tracy Camp
2016	J	`jnl`	MC^2: A Two-Phase Algorithm for Leveraged Matrix Completion. CoRR Armin Eftekhari, Michael B. Wakin, Rachel A. Ward
2016	Misc	`conf`	Non-stationary blind super-resolution. ICASSP Dehui Yang, Gongguo Tang, Michael B. Wakin
2016	J	`jnl`	On the Asymptotic Equivalence of Circulant and Toeplitz Matrices. CoRR Zhihui Zhu, Michael B. Wakin
2016	J	`jnl`	Reconstruction of Frequency Hopping Signals From Multi-Coset Samples. CoRR Chia Wei Lim, Michael B. Wakin
2016	J	`jnl`	SNIPE for Memory-Limited PCA From Incomplete Data. CoRR Armin Eftekhari, Laura Balzano, Dehui Yang, Michael B. Wakin
2016	J	`jnl`	Super-Resolution of Complex Exponentials From Modulations With Unknown Waveforms. IEEE Trans. Inf. Theory Dehui Yang, Gongguo Tang, Michael B. Wakin
2016	J	`jnl`	Super-Resolution of Complex Exponentials from Modulations with Unknown Waveforms. CoRR Dehui Yang, Gongguo Tang, Michael B. Wakin
2016	—	`conf`	Super-resolution in SAR imaging: Analysis with the atomic norm. SAM Zhihui Zhu, Gongguo Tang, Pawan Setlur, Sandeep Gogineni, Michael B. Wakin, Muralidhar Rangaswamy
2016	J	`jnl`	Weighted Matrix Completion and Recovery with Prior Subspace Information. CoRR Armin Eftekhari, Dehui Yang, Michael B. Wakin
2016	J	`jnl`	What to Expect When You Are Expecting on the Grassmannian. CoRR Armin Eftekhari, Laura Balzano, Michael B. Wakin
2015	J	`jnl`	Approximating Sampled Sinusoids and Multiband Signals Using Multiband Modulated DPSS Dictionaries. CoRR Zhihui Zhu, Michael B. Wakin
2015	J	`jnl`	Compressive Temporal Higher Order Cyclostationary Statistics. IEEE Trans. Signal Process. Chia Wei Lim, Michael B. Wakin
2015	—	`conf`	Computing active subspaces efficiently with gradient sketching. CAMSAP Paul G. Constantine, Armin Eftekhari, Michael B. Wakin
2015	J	`jnl`	Greed is Super: A Fast Algorithm for Super-Resolution. CoRR Armin Eftekhari, Michael B. Wakin
2015	C	`conf`	Smart grid topology identification using sparse recovery. IAS Mohammad Babakmehr, Marcelo Godoy Simões, Michael B. Wakin, Ahmed Al-Durra, Farnaz Harirchi
2015	J	`jnl`	What Happens to a Manifold Under a Bi-Lipschitz Map? CoRR Armin Eftekhari, Michael B. Wakin
2014	B	`conf`	A Comparison of On-Mote Lossy Compression Algorithms for Wireless Seismic Data Acquisition. DCOSS Marc J. Rubin, Michael B. Wakin, Tracy Camp
2014	—	`conf`	A first analysis of the stability of Takens' embedding. GlobalSIP Han Lun Yap, Armin Eftekhari, Michael B. Wakin, Christopher J. Rozell
2014	J	`jnl`	Modal Analysis With Compressive Measurements. IEEE Trans. Signal Process. Jae Young Park, Michael B. Wakin, Anna C. Gilbert
2014	J	`jnl`	Observability With Random Observations. IEEE Trans. Autom. Control. Borhan Molazem Sanandaji, Michael B. Wakin, Tyrone L. Vincent
2014	—	`conf`	Recovery of Periodic Clustered Sparse signals from compressive measurements. GlobalSIP Chia Wei Lim, Michael B. Wakin
2014	J	`jnl`	Technical Report: Compressive Temporal Higher Order Cyclostationary Statistics. CoRR Chia Wei Lim, Michael B. Wakin
2013	J	`jnl`	Concentration of Measure Inequalities for Toeplitz Matrices With Applications. IEEE Trans. Signal Process. Borhan Molazem Sanandaji, Tyrone L. Vincent, Michael B. Wakin
2013	—	`conf`	Greed is super: A new iterative method for super-resolution. GlobalSIP Armin Eftekhari, Michael B. Wakin
2013	J	`jnl`	Matched Filtering From Limited Frequency Samples. IEEE Trans. Inf. Theory Armin Eftekhari, Justin K. Romberg, Michael B. Wakin
2013	J	`jnl`	Measurement Bounds for Sparse Signal Ensembles via Graphical Models. IEEE Trans. Inf. Theory Marco F. Duarte, Michael B. Wakin, Dror Baron, Shriram Sarvotham, Richard G. Baraniuk
2013	J	`jnl`	Modal Analysis with Compressive Measurements. CoRR Jae Young Park, Michael B. Wakin, Anna C. Gilbert
2013	J	`jnl`	Multiscale algorithm for reconstructing videos from streaming compressive measurements. J. Electronic Imaging Jae Young Park, Michael B. Wakin
2013	J	`jnl`	New Analysis of Manifold Embeddings and Signal Recovery from Compressive Measurements. CoRR Armin Eftekhari, Michael B. Wakin
2013	J	`jnl`	Signal Space CoSaMP for Sparse Recovery With Redundant Dictionaries. IEEE Trans. Inf. Theory Mark A. Davenport, Deanna Needell, Michael B. Wakin
2013	J	`jnl`	Stable Manifold Embeddings With Structured Random Matrices. IEEE J. Sel. Top. Signal Process. Han Lun Yap, Michael B. Wakin, Christopher J. Rozell
2012	J	`jnl`	A Compressed Sensing Parameter Extraction Platform for Radar Pulse Signal Acquisition. IEEE J. Emerg. Sel. Topics Circuits Syst. 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
2012	J	`jnl`	A Nonuniform Sampler for Wideband Spectrally-Sparse Environments. IEEE J. Emerg. Sel. Topics Circuits Syst. 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
2012	—	`conf`	A Tale of Four Libraries. SciPy Alejandro J. Weinstein, Michael B. Wakin
2012	J	`jnl`	A geometric approach to multi-view compressive imaging. EURASIP J. Adv. Signal Process. Jae Young Park, Michael B. Wakin
2012	—	`conf`	A tutorial on recovery conditions for compressive system identification of sparse channels. CDC Borhan Molazem Sanandaji, Tyrone L. Vincent, Kameshwar Poolla, Michael B. Wakin
2012	—	`conf`	Automatic modulation recognition for spectrum sensing using nonuniform compressive samples. ICC Chia Wei Lim, Michael B. Wakin
2012	—	`conf`	CoSaMP with redundant dictionaries. ACSCC Mark A. Davenport, Deanna Needell, Michael B. Wakin
2012	J	`jnl`	Observability with Random Observations CoRR Borhan Molazem Sanandaji, Michael B. Wakin, Tyrone L. Vincent
2012	—	`conf`	Online search Orthogonal Matching Pursuit. SSP Alejandro J. Weinstein, Michael B. Wakin
2012	J	`jnl`	Signal Space CoSaMP for Sparse Recovery with Redundant Dictionaries CoRR Mark A. Davenport, Deanna Needell, Michael B. Wakin
2012	J	`jnl`	Sketched SVD: Recovering Spectral Features from Compressive Measurements CoRR Anna C. Gilbert, Jae Young Park, Michael B. Wakin
2012	J	`jnl`	Stable Manifold Embeddings with Structured Random Matrices CoRR Han Lun Yap, Michael B. Wakin, Christopher J. Rozell
2012	J	`jnl`	The Restricted Isometry Property for Random Block Diagonal Matrices CoRR Armin Eftekhari, Han Lun Yap, Christopher J. Rozell, Michael B. Wakin
2011	J	`jnl`	Bounds on the Reconstruction of Sparse Signal Ensembles from Distributed Measurements CoRR Marco F. Duarte, Michael B. Wakin, Dror Baron, Shriram Sarvotham, Richard G. Baraniuk
2011	J	`jnl`	Compressive Sensing of Analog Signals Using Discrete Prolate Spheroidal Sequences CoRR Mark A. Davenport, Michael B. Wakin
2011	—	`conf`	Compressive System Identification of LTI and LTV ARX models. CDC/ECC Borhan Molazem Sanandaji, Tyrone L. Vincent, Michael B. Wakin, Roland Tóth, Kameshwar Poolla
2011	—	`conf`	Compressive topology identification of interconnected dynamic systems via Clustered Orthogonal Matching Pursuit. CDC/ECC Borhan Molazem Sanandaji, Tyrone L. Vincent, Michael B. Wakin
2011	J	`jnl`	Concentration of Measure Inequalities for Toeplitz Matrices with Applications CoRR Borhan Molazem Sanandaji, Tyrone L. Vincent, Michael B. Wakin
2011	J	`jnl`	Concentration of Measure for Block Diagonal Matrices With Applications to Compressive Signal Processing. IEEE Trans. Signal Process. Jae Young Park, Han Lun Yap, Christopher J. Rozell, Michael B. Wakin
2011	C	`conf`	Exact topology identification of large-scale interconnected dynamical systems from compressive observations. ACC Borhan Molazem Sanandaji, Tyrone L. Vincent, Michael B. Wakin
2011	J	`jnl`	Learning Low-Dimensional Signal Models. IEEE Signal Process. Mag. Lawrence Carin, Richard G. Baraniuk, Volkan Cevher, David B. Dunson, Michael I. Jordan, Guillermo Sapiro, Michael B. Wakin
2011	J	`jnl`	Matched Filtering from Limited Frequency Samples CoRR Armin Eftekhari, Justin K. Romberg, Michael B. Wakin
2011	J	`jnl`	Recovering a Clipped Signal in Sparseland CoRR Alejandro J. Weinstein, Michael B. Wakin
2011	J	`jnl`	Sparse Image and Signal Processing: Wavelets, Curvelets, Morphological Diversity (Starck, J.-L., et al; 2010) [Book Reviews]. IEEE Signal Process. Mag. Michael B. Wakin
2011	Misc	`conf`	Stable manifold embeddings with operators satisfying the Restricted Isometry Property. CISS Han Lun Yap, Michael B. Wakin, Christopher J. Rozell
2011	Misc	`conf`	The Restricted Isometry Property for block diagonal matrices. CISS Han Lun Yap, Armin Eftekhari, Michael B. Wakin, Christopher J. Rozell
2010	J	`jnl`	Analysis of orthogonal matching pursuit using the restricted isometry property. IEEE Trans. Inf. Theory Mark A. Davenport, Michael B. Wakin
2010	Misc	`conf`	Concentration of measure for block diagonal matrices with repeated blocks. CISS Christopher J. Rozell, Han Lun Yap, Jae Young Park, Michael B. Wakin
2010	Misc	`conf`	Concentration of measure for block diagonal measurement matrices. ICASSP Michael B. Wakin, Jae Young Park, Han Lun Yap, Christopher J. Rozell
2010	—	`conf`	Concentration of measure inequalities for compressive Toeplitz matrices with applications to detection and system identification. CDC Borhan Molazem Sanandaji, Tyrone L. Vincent, Michael B. Wakin
2010	J	`jnl`	Low-Dimensional Models for Dimensionality Reduction and Signal Recovery: A Geometric Perspective. Proc. IEEE Richard G. Baraniuk, Volkan Cevher, Michael B. Wakin
2010	—	`conf`	On the observability of linear systems from random, compressive measurements. CDC Michael B. Wakin, Borhan Molazem Sanandaji, Tyrone L. Vincent
2010	J	`jnl`	Signal Processing With Compressive Measurements. IEEE J. Sel. Top. Signal Process. Mark A. Davenport, Petros Boufounos, Michael B. Wakin, Richard G. Baraniuk
2009	C	`conf`	A manifold lifting algorithm for multi-view compressive imaging. PCS Michael B. Wakin
2009	C	`conf`	A multiscale framework for Compressive Sensing of video. PCS Jae Young Park, Michael B. Wakin
2009	J	`jnl`	Distributed Compressive Sensing CoRR Dror Baron, Marco F. Duarte, Michael B. Wakin, Shriram Sarvotham, Richard G. Baraniuk
2009	J	`jnl`	Random Projections of Smooth Manifolds. Found. Comput. Math. Richard G. Baraniuk, Michael B. Wakin
2009	J	`jnl`	Representation and Compression of Multidimensional Piecewise Functions Using Surflets. IEEE Trans. Inf. Theory Venkat Chandrasekaran, Michael B. Wakin, Dror Baron, Richard G. Baraniuk
2008	J	`jnl`	An Introduction To Compressive Sampling. IEEE Signal Process. Mag. Emmanuel J. Candès, Michael B. Wakin
2008	Misc	`conf`	Wavelet-domain compressive signal reconstruction using a Hidden Markov Tree model. ICASSP Marco F. Duarte, Michael B. Wakin, Richard G. Baraniuk
2007	—	`conf`	Multiscale Random Projections for Compressive Classification. ICIP (6) Marco F. Duarte, Mark A. Davenport, Michael B. Wakin, Jason N. Laska, Dharmpal Takhar, Kevin F. Kelly, Richard G. Baraniuk
2007	—	`conf`	Random Projections for Manifold Learning. NIPS Chinmay Hegde, Michael B. Wakin, Richard G. Baraniuk
2007	—	`conf`	Sparse Signal and Image Recovery from Compressive Samples. ISBI Emmanuel J. Candès, Nathaniel Braun, Michael B. Wakin
2007	—	`conf`	The smashed filter for compressive classification and target recognition. Computational Imaging Mark A. Davenport, Marco F. Duarte, Michael B. Wakin, Jason N. Laska, Dharmpal Takhar, Kevin F. Kelly, Richard G. Baraniuk
2006	—	`conf`	A new compressive imaging camera architecture using optical-domain compression. Computational Imaging Dharmpal Takhar, Jason N. Laska, Michael B. Wakin, Marco F. Duarte, Dror Baron, Shriram Sarvotham, Kevin F. Kelly, Richard G. Baraniuk
2006	B	`conf`	An Architecture for Compressive Imaging. ICIP Michael B. Wakin, Jason N. Laska, Marco F. Duarte, Dror Baron, Shriram Sarvotham, Dharmpal Takhar, Kevin F. Kelly, Richard G. Baraniuk
2006	—	`conf`	Random Filters for Compressive Sampling and Reconstruction. ICASSP (3) Joel A. Tropp, Michael B. Wakin, Marco F. Duarte, Dror Baron, Richard G. Baraniuk
2006	—	`conf`	Random Projections of Signal Manifolds. ICASSP (5) Michael B. Wakin, Richard G. Baraniuk
2006	—	`conf`	Sparse Signal Detection from Incoherent Projections. ICASSP (3) Marco F. Duarte, Mark A. Davenport, Michael B. Wakin, Richard G. Baraniuk
2006	—	`conf`	Universal distributed sensing via random projections. IPSN Marco F. Duarte, Michael B. Wakin, Dror Baron, Richard G. Baraniuk
2006	J	`jnl`	Wavelet-domain approximation and compression of piecewise smooth images. IEEE Trans. Image Process. Michael B. Wakin, Justin K. Romberg, Hyeokho Choi, Richard G. Baraniuk
2005	—	`conf`	High-resolution navigation on non-differentiable image manifolds. ICASSP (5) Michael B. Wakin, David L. Donoho, Hyeokho Choi, Richard G. Baraniuk
2005	—	`conf`	Recovery of Jointly Sparse Signals from Few Random Projections. NIPS Michael B. Wakin, Marco F. Duarte, Shriram Sarvotham, Dror Baron, Richard G. Baraniuk
2004	—	`conf`	Non-redundant, linear-phase, semi-orthogonal, directional complex wavelets [image/video processing applications]. ICASSP (2) Felix C. A. Fernandes, Michael B. Wakin, Richard G. Baraniuk
2004	B	`conf`	Surflets: a sparse representation for multidimensional functions containing smooth discontinuities. ISIT Venkat Chandrasekaran, Michael B. Wakin, Dror Baron, Richard G. Baraniuk
2003	—	`conf`	Approximation and compression of piecewise smooth images using a wavelet/wedgelet geometric model. ICIP (1) Justin K. Romberg, Michael B. Wakin, Richard G. Baraniuk
2003	C	`conf`	Multiscale geometric image processing. VCIP Justin K. Romberg, Michael B. Wakin, Richard G. Baraniuk
2002	B	`conf`	Image Compression using an Efficient Edge Cartoon + Texture Model. DCC Michael B. Wakin, Justin K. Romberg, Hyeokho Choi, Richard G. Baraniuk
2002	—	`conf`	Multiscale wedgelet image analysis: fast decompositions and modeling. ICIP (3) Justin K. Romberg, Michael B. Wakin, Richard G. Baraniuk
2002	—	`conf`	Rate-distortion optimized image compression using wedgelets. ICIP (3) Justin K. Romberg, Michael B. Wakin, Hyeokho Choi, Richard G. Baraniuk