Lower Bounds on the Mean-Squared Error of Low-Rank Matrix Reconstruction

Unbiased Estimation of a Sparse Vector in White Gaussian Noise

(2011) Alexander Jung et al.   IEEE TRANSACTIONS ON INFORMATION THEORY

Tight Oracle Inequalities for Low-Rank Matrix Recovery From a Minimal Number of Noisy Random Measurements

(2011) Emmanuel J Candès et al.   IEEE TRANSACTIONS ON INFORMATION THEORY

Robust principal component analysis?

(2011) Emmanuel J. Candès et al.   JOURNAL OF THE ACM

The Power of Convex Relaxation: Near-Optimal Matrix Completion

(2010) Emmanuel J. Candes et al.   IEEE TRANSACTIONS ON INFORMATION THEORY

The Cramér-Rao Bound for Estimating a Sparse Parameter Vector

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

Quantum State Tomography via Compressed Sensing

(2010) David Gross et al.   PHYSICAL REVIEW LETTERS

Matrix Completion With Noise

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

Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization

(2010) Benjamin Recht et al.   SIAM REVIEW

Exact Matrix Completion via Convex Optimization

(2009) Emmanuel J. Candès et al.   FOUNDATIONS OF COMPUTATIONAL MATHEMATICS

On the Constrained CramÉr–Rao Bound With a Singular Fisher Information Matrix

(2009) Zvika Ben-Haim et al.   IEEE SIGNAL PROCESSING LETTERS

Fixed point and Bregman iterative methods for matrix rank minimization

(2009) Shiqian Ma et al.   MATHEMATICAL PROGRAMMING

The restricted isometry property and its implications for compressed sensing

(2008) Emmanuel J. Candès   COMPTES RENDUS MATHEMATIQUE

On Bounds and Algorithms for Frequency Synchronization for Collaborative Communication Systems

(2008) P.A. Parker et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

On sparse reconstruction from Fourier and Gaussian measurements

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