Michael B. Wakin

Orcid: 0000-0002-2165-4586

According to our database1, Michael B. Wakin authored at least 152 papers between 2002 and 2024.

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Bibliography

2024
Quantum State Tomography for Matrix Product Density Operators.
IEEE Trans. Inf. Theory, July, 2024

Multi-Frequency Spherical Near-Field Antenna Measurements Using Compressive Sensing.
IEEE J. Sel. Top. Signal Process., May, 2024

Bivariate retrieval from intensity of cross-correlation.
Signal Process., February, 2024

Non-Uniform Array and Frequency Spacing for Regularization-Free Gridless DOA.
IEEE Trans. Signal Process., 2024

Phase retrieval from integrated intensity of auto-convolution.
Signal Process., 2024

Sample-Optimal Quantum State Tomography for Structured Quantum States in One Dimension.
CoRR, 2024

Guaranteed Nonconvex Factorization Approach for Tensor Train Recovery.
CoRR, 2024

Atomic Norm Denoising for Multi-Frequency-Snapshot Doa Estimation.
Proceedings of the 13th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2024

Non-Uniform Frequency Spacing for Regularization-Free Gridless DOA.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Achieving Robust Compressive Sensing Seismic Acquisition with a Two-Step Sampling Approach.
Sensors, December, 2023

Gridless DOA Estimation With Multiple Frequencies.
IEEE Trans. Signal Process., 2023

Green's function estimation by seismic interferometry from limited frequency samples.
Signal Process., 2023

Guest Editorial Special Issue on Sensing: Fundamental Limits and Modern Applications.
IEEE J. Sel. Areas Inf. Theory, 2023

Stable Tomography for Structured Quantum States.
CoRR, 2023

2022
Compressive Sensing With Wigner $D$-Functions on Subsets of the Sphere.
IEEE Trans. Signal Process., 2022

Landscape Correspondence of Empirical and Population Risks in the Eigendecomposition Problem.
IEEE Trans. Signal Process., 2022

When Randomness Helps in Undersampling.
SIAM Rev., 2022

Restricted Domain Compressive Sensing for Antenna Metrology.
CoRR, 2022

Error Analysis of Tensor-Train Cross Approximation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Gridless DOA Estimation Under the Multi-Frequency Model.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
The Global Optimization Geometry of Low-Rank Matrix Optimization.
IEEE Trans. Inf. Theory, 2021

Recovery Guarantees for Time-varying Pairwise Comparison Matrices with Non-transitivity.
CoRR, 2021

Digital Beamforming Robust to Time-Varying Carrier Frequency Offset.
CoRR, 2021

Contaminated Multiband Signal Identification Via Deep Learning.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2021

Data-driven Support Recovery for Sparse Signals with Non-stationary Modulation.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Data-driven Parameter Estimation Of Contaminated Damped Exponentials.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020
Support Recovery for Sparse Signals With Unknown Non-Stationary Modulation.
IEEE Trans. Signal Process., 2020

Atomic Norm Denoising for Complex Exponentials With Unknown Waveform Modulations.
IEEE Trans. Inf. Theory, 2020

The Global Geometry of Centralized and Distributed Low-rank Matrix Recovery Without Regularization.
IEEE Signal Process. Lett., 2020

The Global Optimization Geometry of Shallow Linear Neural Networks.
J. Math. Imaging Vis., 2020

Nuclear Norm Based Spectrum Estimation for Molecular Dynamic Simulations.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019
Simultaneous Sparse Recovery and Blind Demodulation.
IEEE Trans. Signal Process., 2019

Streaming Principal Component Analysis From Incomplete Data.
J. Mach. Learn. Res., 2019

The Effectiveness of Variational Autoencoders for Active Learning.
CoRR, 2019

Support Recovery for Sparse Signals with Non-stationary Modulation.
CoRR, 2019

Provable Bregman-divergence based Methods for Nonconvex and Non-Lipschitz Problems.
CoRR, 2019

Distributed Low-rank Matrix Factorization With Exact Consensus.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

The Landscape of Non-convex Empirical Risk with Degenerate Population Risk.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Sparse Recovery and Non-stationary Blind Demodulation.
Proceedings of the IEEE International Conference on Acoustics, 2019

The Geometry of Equality-constrained Global Consensus Problems.
Proceedings of the IEEE International Conference on Acoustics, 2019

Simultaneous Blind Deconvolution and Phase Retrieval with Tensor Iterative Hard Thresholding.
Proceedings of the IEEE International Conference on Acoustics, 2019

The Geometric Effects of Distributing Constrained Nonconvex Optimization Problems.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

A Super-Resolution Algorithm for Extended Target Localization.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

Support Recovery for Sparse Recovery and Non-stationary Blind Demodulation.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

The Local Geometry of Orthogonal Dictionary Learning using L1 Minimization.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018
Global Optimality in Low-Rank Matrix Optimization.
IEEE Trans. Signal Process., 2018

ROAST: Rapid Orthogonal Approximate Slepian Transform.
IEEE Trans. Signal Process., 2018

Atomic Norm Minimization for Modal Analysis From Random and Compressed Samples.
IEEE Trans. Signal Process., 2018

Weighted Matrix Completion and Recovery With Prior Subspace Information.
IEEE Trans. Inf. Theory, 2018

The Eigenvalue Distribution of Discrete Periodic Time-Frequency Limiting Operators.
IEEE Signal Process. Lett., 2018

Global Optimality in Distributed Low-rank Matrix Factorization.
CoRR, 2018

An Optimization View of MUSIC and Its Extension to Missing Data.
CoRR, 2018

Randomized Clustered Nystrom for Large-Scale Kernel Machines.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
On the Asymptotic Equivalence of Circulant and Toeplitz Matrices.
IEEE Trans. Inf. Theory, 2017

Compressive Video Sensing: Algorithms, architectures, and applications.
IEEE Signal Process. Mag., 2017

What to Expect When You Are Expecting on the Grassmannian.
IEEE Signal Process. Lett., 2017

What Happens to a Manifold Under a Bi-Lipschitz Map?
Discret. Comput. Geom., 2017

Time-Limited Toeplitz Operators on Abelian Groups: Applications in Information Theory and Subspace Approximation.
CoRR, 2017

The Global Optimization Geometry of Nonsymmetric Matrix Factorization and Sensing.
CoRR, 2017

Radar signal demixing via convex optimization.
Proceedings of the 22nd International Conference on Digital Signal Processing, 2017

Fast orthogonal approximations of sampled sinusoids and bandlimited signals.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Atomic norm minimization for modal analysis with random spatial compression.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Jazz: A companion to music for frequency estimation with missing data.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Super-Resolution of complex exponentials from modulations with known waveforms.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

A super-resolution algorithm for multiband signal identification.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

Learning the second-moment matrix of a smooth function from point samples.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016
Super-Resolution of Complex Exponentials From Modulations With Unknown Waveforms.
IEEE Trans. Inf. Theory, 2016

Compressive Sensing-Based Topology Identification for Smart Grids.
IEEE Trans. Ind. Informatics, 2016

Lossy Compression for Wireless Seismic Data Acquisition.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

Introduction to the Issue on Structured Matrices in Signal and Data Processing.
IEEE J. Sel. Top. Signal Process., 2016

Reconstruction of Frequency Hopping Signals From Multi-Coset Samples.
CoRR, 2016

MC^2: A Two-Phase Algorithm for Leveraged Matrix Completion.
CoRR, 2016

Learning the Differential Correlation Matrix of a Smooth Function From Point Samples.
CoRR, 2016

SNIPE for Memory-Limited PCA From Incomplete Data.
CoRR, 2016

Super-resolution in SAR imaging: Analysis with the atomic norm.
Proceedings of the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016

Atomic norm minimization for modal analysis.
Proceedings of the 2016 IEEE International Conference on Multimedia & Expo Workshops, 2016

Non-stationary blind super-resolution.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Fast computations for approximation and compression in Slepian spaces.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

2015
Compressive Temporal Higher Order Cyclostationary Statistics.
IEEE Trans. Signal Process., 2015

Approximating Sampled Sinusoids and Multiband Signals Using Multiband Modulated DPSS Dictionaries.
CoRR, 2015

Greed is Super: A Fast Algorithm for Super-Resolution.
CoRR, 2015

Smart grid topology identification using sparse recovery.
Proceedings of the 2015 IEEE Industry Applications Society Annual Meeting, 2015

Computing active subspaces efficiently with gradient sketching.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

2014
Modal Analysis With Compressive Measurements.
IEEE Trans. Signal Process., 2014

Observability With Random Observations.
IEEE Trans. Autom. Control., 2014

Technical Report: Compressive Temporal Higher Order Cyclostationary Statistics.
CoRR, 2014

A first analysis of the stability of Takens' embedding.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

Recovery of Periodic Clustered Sparse signals from compressive measurements.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

A Comparison of On-Mote Lossy Compression Algorithms for Wireless Seismic Data Acquisition.
Proceedings of the IEEE International Conference on Distributed Computing in Sensor Systems, 2014

2013
Concentration of Measure Inequalities for Toeplitz Matrices With Applications.
IEEE Trans. Signal Process., 2013

Matched Filtering From Limited Frequency Samples.
IEEE Trans. Inf. Theory, 2013

Measurement Bounds for Sparse Signal Ensembles via Graphical Models.
IEEE Trans. Inf. Theory, 2013

Signal Space CoSaMP for Sparse Recovery With Redundant Dictionaries.
IEEE Trans. Inf. Theory, 2013

Stable Manifold Embeddings With Structured Random Matrices.
IEEE J. Sel. Top. Signal Process., 2013

Multiscale algorithm for reconstructing videos from streaming compressive measurements.
J. Electronic Imaging, 2013

New Analysis of Manifold Embeddings and Signal Recovery from Compressive Measurements.
CoRR, 2013

Greed is super: A new iterative method for super-resolution.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

2012
A Compressed Sensing Parameter Extraction Platform for Radar Pulse Signal Acquisition.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2012

A Nonuniform Sampler for Wideband Spectrally-Sparse Environments.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2012

A geometric approach to multi-view compressive imaging.
EURASIP J. Adv. Signal Process., 2012

Sketched SVD: Recovering Spectral Features from Compressive Measurements
CoRR, 2012

The Restricted Isometry Property for Random Block Diagonal Matrices
CoRR, 2012

Online search Orthogonal Matching Pursuit.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

A Tale of Four Libraries.
Proceedings of the 11th Python in Science Conference 2012 (SciPy 2012), 2012

Automatic modulation recognition for spectrum sensing using nonuniform compressive samples.
Proceedings of IEEE International Conference on Communications, 2012

A tutorial on recovery conditions for compressive system identification of sparse channels.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

CoSaMP with redundant dictionaries.
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

2011
Concentration of Measure for Block Diagonal Matrices With Applications to Compressive Signal Processing.
IEEE Trans. Signal Process., 2011

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

Learning Low-Dimensional Signal Models.
IEEE Signal Process. Mag., 2011

Recovering a Clipped Signal in Sparseland
CoRR, 2011

Compressive Sensing of Analog Signals Using Discrete Prolate Spheroidal Sequences
CoRR, 2011

Bounds on the Reconstruction of Sparse Signal Ensembles from Distributed Measurements
CoRR, 2011

Stable manifold embeddings with operators satisfying the Restricted Isometry Property.
Proceedings of the 45st Annual Conference on Information Sciences and Systems, 2011

The Restricted Isometry Property for block diagonal matrices.
Proceedings of the 45st Annual Conference on Information Sciences and Systems, 2011

Compressive System Identification of LTI and LTV ARX models.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Compressive topology identification of interconnected dynamic systems via Clustered Orthogonal Matching Pursuit.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Exact topology identification of large-scale interconnected dynamical systems from compressive observations.
Proceedings of the American Control Conference, 2011

2010
Analysis of orthogonal matching pursuit using the restricted isometry property.
IEEE Trans. Inf. Theory, 2010

Low-Dimensional Models for Dimensionality Reduction and Signal Recovery: A Geometric Perspective.
Proc. IEEE, 2010

Signal Processing With Compressive Measurements.
IEEE J. Sel. Top. Signal Process., 2010

Concentration of measure for block diagonal measurement matrices.
Proceedings of the IEEE International Conference on Acoustics, 2010

Concentration of measure for block diagonal matrices with repeated blocks.
Proceedings of the 44th Annual Conference on Information Sciences and Systems, 2010

On the observability of linear systems from random, compressive measurements.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Concentration of measure inequalities for compressive Toeplitz matrices with applications to detection and system identification.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009
Representation and Compression of Multidimensional Piecewise Functions Using Surflets.
IEEE Trans. Inf. Theory, 2009

Random Projections of Smooth Manifolds.
Found. Comput. Math., 2009

Distributed Compressive Sensing
CoRR, 2009

A manifold lifting algorithm for multi-view compressive imaging.
Proceedings of the 2009 Picture Coding Symposium, 2009

A multiscale framework for Compressive Sensing of video.
Proceedings of the 2009 Picture Coding Symposium, 2009

2008
An Introduction To Compressive Sampling.
IEEE Signal Process. Mag., 2008

Wavelet-domain compressive signal reconstruction using a Hidden Markov Tree model.
Proceedings of the IEEE International Conference on Acoustics, 2008

2007
Random Projections for Manifold Learning.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Sparse Signal and Image Recovery from Compressive Samples.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

Multiscale Random Projections for Compressive Classification.
Proceedings of the International Conference on Image Processing, 2007

The smashed filter for compressive classification and target recognition.
Proceedings of the Computational Imaging V, San Jose, 2007

2006
Wavelet-domain approximation and compression of piecewise smooth images.
IEEE Trans. Image Process., 2006

Universal distributed sensing via random projections.
Proceedings of the Fifth International Conference on Information Processing in Sensor Networks, 2006

An Architecture for Compressive Imaging.
Proceedings of the International Conference on Image Processing, 2006

Random Projections of Signal Manifolds.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Random Filters for Compressive Sampling and Reconstruction.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Sparse Signal Detection from Incoherent Projections.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

A new compressive imaging camera architecture using optical-domain compression.
Proceedings of the Computational Imaging IV, San Jose, 2006

2005
Recovery of Jointly Sparse Signals from Few Random Projections.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

High-resolution navigation on non-differentiable image manifolds.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004
Surflets: a sparse representation for multidimensional functions containing smooth discontinuities.
Proceedings of the 2004 IEEE International Symposium on Information Theory, 2004

Non-redundant, linear-phase, semi-orthogonal, directional complex wavelets [image/video processing applications].
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

2003
Multiscale geometric image processing.
Proceedings of the Visual Communications and Image Processing 2003, 2003

Approximation and compression of piecewise smooth images using a wavelet/wedgelet geometric model.
Proceedings of the 2003 International Conference on Image Processing, 2003

2002
Rate-distortion optimized image compression using wedgelets.
Proceedings of the 2002 International Conference on Image Processing, 2002

Multiscale wedgelet image analysis: fast decompositions and modeling.
Proceedings of the 2002 International Conference on Image Processing, 2002

Image Compression using an Efficient Edge Cartoon + Texture Model.
Proceedings of the 2002 Data Compression Conference (DCC 2002), 2002


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