Information-Theoretically Optimal Compressed Sensing via Spatial Coupling and Approximate Message Passing

Compressive Imaging Using Approximate Message Passing and a Markov-Tree Prior

(2012) Subhojit Som et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

MMSE Dimension

(2011) Yihong Wu et al.   IEEE TRANSACTIONS ON INFORMATION THEORY

Threshold Saturation via Spatial Coupling: Why Convolutional LDPC Ensembles Perform So Well over the BEC

(2011) Shrinivas Kudekar et al.   IEEE TRANSACTIONS ON INFORMATION THEORY

The Noise-Sensitivity Phase Transition in Compressed Sensing

(2011) David L. Donoho et al.   IEEE TRANSACTIONS ON INFORMATION THEORY

The Dynamics of Message Passing on Dense Graphs, with Applications to Compressed Sensing

(2011) Mohsen Bayati et al.   IEEE TRANSACTIONS ON INFORMATION THEORY

The LASSO Risk for Gaussian Matrices

(2011) Mohsen Bayati et al.   IEEE TRANSACTIONS ON INFORMATION THEORY

Rényi Information Dimension: Fundamental Limits of Almost Lossless Analog Compression

(2010) Yihong Wu et al.   IEEE TRANSACTIONS ON INFORMATION THEORY

Information Theoretic Bounds for Compressed Sensing

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

Counting the Faces of Randomly-Projected Hypercubes and Orthants, with Applications

(2009) David L. Donoho et al.   DISCRETE & COMPUTATIONAL GEOMETRY

The Generalized Area Theorem and Some of its Consequences

(2009) Cyril Measson et al.   IEEE TRANSACTIONS ON INFORMATION THEORY

Information-Theoretic Limits on Sparsity Recovery in the High-Dimensional and Noisy Setting

(2009) Martin J. Wainwright   IEEE TRANSACTIONS ON INFORMATION THEORY

Bayesian Compressive Sensing Via Belief Propagation

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

Message-passing algorithms for compressed sensing

(2009) David L. Donoho et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA