Structured Compressed Sensing: From Theory to Applications

Performance Bounds and Design Criteria for Estimating Finite Rate of Innovation Signals

(2012) Zvika Ben-Haim et al.   IEEE TRANSACTIONS ON INFORMATION THEORY

Near-Oracle Performance of Greedy Block-Sparse Estimation Techniques From Noisy Measurements

(2011) Zvika Ben-Haim et al.   IEEE Journal of Selected Topics in Signal Processing

Noise Folding in Compressed Sensing

(2011) Ery Arias-Castro et al.   IEEE SIGNAL PROCESSING LETTERS

Sparse Recovery With Orthogonal Matching Pursuit Under RIP

(2011) Tong Zhang   IEEE TRANSACTIONS ON INFORMATION THEORY

Identification of Parametric Underspread Linear Systems and Super-Resolution Radar

(2011) Waheed U. Bajwa et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Multichannel Sampling of Pulse Streams at the Rate of Innovation

(2011) Kfir Gedalyahu et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Innovation Rate Sampling of Pulse Streams With Application to Ultrasound Imaging

(2011) Ronen Tur et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

C-HiLasso: A Collaborative Hierarchical Sparse Modeling Framework

(2011) Pablo Sprechmann et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Sensitivity to Basis Mismatch in Compressed Sensing

(2011) Yuejie Chi et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Xampling: analog to digital at sub-Nyquist rates

(2011) M. Mishali et al.   IET Circuits Devices & Systems

Real versus complex null space properties for sparse vector recovery

(2010) Simon Foucart et al.   COMPTES RENDUS MATHEMATIQUE

General Deviants: An Analysis of Perturbations in Compressed Sensing

(2010) M.A. Herman et al.   IEEE Journal of Selected Topics in Signal Processing

From Theory to Practice: Sub-Nyquist Sampling of Sparse Wideband Analog Signals

(2010) M. Mishali et al.   IEEE Journal of Selected Topics in Signal Processing

Analysis of Orthogonal Matching Pursuit Using the Restricted Isometry Property

(2010) Mark A. Davenport et al.   IEEE TRANSACTIONS ON INFORMATION THEORY

Average Case Analysis of Multichannel Sparse Recovery Using Convex Relaxation

(2010) Yonina C. Eldar et al.   IEEE TRANSACTIONS ON INFORMATION THEORY

Information Theoretic Bounds for Compressed Sensing

(2010) Shuchin Aeron et al.   IEEE TRANSACTIONS ON INFORMATION THEORY

Beyond Nyquist: Efficient Sampling of Sparse Bandlimited Signals

(2010) Joel A. Tropp et al.   IEEE TRANSACTIONS ON INFORMATION THEORY

Toeplitz Compressed Sensing Matrices With Applications to Sparse Channel Estimation

(2010) Jarvis Haupt et al.   IEEE TRANSACTIONS ON INFORMATION THEORY

Model-Based Compressive Sensing

(2010) Richard G. Baraniuk et al.   IEEE TRANSACTIONS ON INFORMATION THEORY

Coherence-Based Performance Guarantees for Estimating a Sparse Vector Under Random Noise

(2010) Zvika Ben-Haim et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

The Cramér-Rao Bound for Estimating a Sparse Parameter Vector

(2010) Zvika Ben-Haim et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Block-Sparse Signals: Uncertainty Relations and Efficient Recovery

(2010) Yonina C. Eldar et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Time-Delay Estimation From Low-Rate Samples: A Union of Subspaces Approach

(2010) Kfir Gedalyahu et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

The group lasso for logistic regression

(2010) Lukas Meier et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

A numerical exploration of compressed sampling recovery

(2010) Charles Dossal et al.   LINEAR ALGEBRA AND ITS APPLICATIONS

Super-resolution and reconstruction of sparse images carried by incoherent light

(2010) Yoav Shechtman et al.   OPTICS LETTERS

Compressive Sensing on a CMOS Separable-Transform Image Sensor

(2010) Ryan Robucci et al.   PROCEEDINGS OF THE IEEE

Computational Methods for Sparse Solution of Linear Inverse Problems

(2010) Joel A Tropp et al.   PROCEEDINGS OF THE IEEE

Matrix Completion With Noise

(2010) Emmanuel J Candes et al.   PROCEEDINGS OF THE IEEE

Near-ideal model selection by ℓ 1 minimization

(2009) Emmanuel J. Candès et al.   ANNALS OF STATISTICS

Iterative hard thresholding for compressed sensing

(2009) Thomas Blumensath et al.   APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS

A note on guaranteed sparse recovery via ℓ1-minimization

(2009) Simon Foucart   APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS

Compressed Imaging With a Separable Sensing Operator

(2009) Y. Rivenson et al.   IEEE SIGNAL PROCESSING LETTERS

Tree-Structured Compressive Sensing With Variational Bayesian Analysis

(2009) Lihan He et al.   IEEE SIGNAL PROCESSING LETTERS

Beyond bandlimited sampling

(2009) Y. Eldar et al.   IEEE SIGNAL PROCESSING MAGAZINE

Exact Feature Extraction Using Finite Rate of Innovation Principles With an Application to Image Super-Resolution

(2009) L. Baboulaz et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Uncertainty Relations for Shift-Invariant Analog Signals

(2009) Yonina C. Eldar   IEEE TRANSACTIONS ON INFORMATION THEORY

Robust Recovery of Signals From a Structured Union of Subspaces

(2009) Yonina C. Eldar et al.   IEEE TRANSACTIONS ON INFORMATION THEORY

On Recovery of Sparse Signals Via $\ell _{1}$ Minimization

(2009) T. Tony Cai et al.   IEEE TRANSACTIONS ON INFORMATION THEORY

Sampling Theorems for Signals From the Union of Finite-Dimensional Linear Subspaces

(2009) Thomas Blumensath et al.   IEEE TRANSACTIONS ON INFORMATION THEORY

Subspace Pursuit for Compressive Sensing Signal Reconstruction

(2009) Wei Dai et al.   IEEE TRANSACTIONS ON INFORMATION THEORY

On the Reconstruction of Block-Sparse Signals With an Optimal Number of Measurements

(2009) M. Stojnic et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Blind Multiband Signal Reconstruction: Compressed Sensing for Analog Signals

(2009) M. Mishali et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

High-Resolution Radar via Compressed Sensing

(2009) M.A. Herman et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Compressed Sensing of Analog Signals in Shift-Invariant Spaces

(2009) Y.C. Eldar   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Exploiting Structure in Wavelet-Based Bayesian Compressive Sensing

(2009) Lihan He et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Distributed Spectrum Sensing for Cognitive Radio Networks by Exploiting Sparsity

(2009) J.A. Bazerque et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Bayesian Compressive Sensing Via Belief Propagation

(2009) Dror Baron et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Super-resolution and reconstruction of sparse sub-wavelength images

(2009) Snir Gazit et al.   OPTICS EXPRESS

Observed universality of phase transitions in high-dimensional geometry, with implications for modern data analysis and signal processing

(2009) D. Donoho et al.   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

Compressive Sensing by Random Convolution

(2009) Justin Romberg   SIAM Journal on Imaging Sciences

From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images

(2009) Alfred M. Bruckstein et al.   SIAM REVIEW

CoSaMP: Iterative signal recovery from incomplete and inaccurate samples

(2008) D. Needell et al.   APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS

A single-pixel terahertz imaging system based on compressed sensing

(2008) Wai Lam Chan et al.   APPLIED PHYSICS LETTERS

A Simple Proof of the Restricted Isometry Property for Random Matrices

(2008) Richard Baraniuk et al.   CONSTRUCTIVE APPROXIMATION

Recovering Sparse Signals Using Sparse Measurement Matrices in Compressed DNA Microarrays

(2008) Farzad Parvaresh et al.   IEEE Journal of Selected Topics in Signal Processing

A Generalized Sampling Method for Finite-Rate-of-Innovation-Signal Reconstruction

(2008) Chandra Sekhar Seelamantula et al.   IEEE SIGNAL PROCESSING LETTERS

A Tutorial on Fast Fourier Sampling

(2008) A.C. Gilbert et al.   IEEE SIGNAL PROCESSING MAGAZINE

Sparse Sampling of Signal Innovations

(2008) T. Blu et al.   IEEE SIGNAL PROCESSING MAGAZINE

Compressed Sensing MRI

(2008) M. Lustig et al.   IEEE SIGNAL PROCESSING MAGAZINE

An Introduction To Compressive Sampling

(2008) E.J. Candes et al.   IEEE SIGNAL PROCESSING MAGAZINE

Single-pixel imaging via compressive sampling

(2008) Marco F. Duarte et al.   IEEE SIGNAL PROCESSING MAGAZINE

Reduce and Boost: Recovering Arbitrary Sets of Jointly Sparse Vectors

(2008) M. Mishali et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

A Theory for Sampling Signals From a Union of Subspaces

(2008) Y.M. Lu et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Bayesian Compressive Sensing

(2008) Shihao Ji et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Multitask Compressive Sensing

(2008) S. Ji et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Atoms of All Channels, Unite! Average Case Analysis of Multi-Channel Sparse Recovery Using Greedy Algorithms

(2008) Rémi Gribonval et al.   JOURNAL OF FOURIER ANALYSIS AND APPLICATIONS

Compressed sensing and best $k$-term approximation

(2008) Albert Cohen et al.   JOURNAL OF THE AMERICAN MATHEMATICAL SOCIETY

A distributed spatio-temporal EEG/MEG inverse solver

(2008) Wanmei Ou et al.   NEUROIMAGE

Recovery Algorithms for Vector-Valued Data with Joint Sparsity Constraints

(2008) Massimo Fornasier et al.   SIAM JOURNAL ON NUMERICAL ANALYSIS

On the asymptotic properties of the group lasso estimator for linear models

(2008) Yuval Nardi et al.   Electronic Journal of Statistics

Beyond coherence: Recovering structured time–frequency representations

(2007) Lasse Borup et al.   APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS

On the conditioning of random subdictionaries

(2007) Joel A. Tropp   APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS

On sparse reconstruction from Fourier and Gaussian measurements

(2007) Mark Rudelson et al.   COMMUNICATIONS ON PURE AND APPLIED MATHEMATICS