Justin Romberg - Researcher Profile | RDL Research Database

Publications

3 shown

Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information

Emmanuel J. Candès , Justin Romberg , Terence Tao

This paper considers the model problem of reconstructing an object from incomplete frequency samples. Consider a discrete-time signal f ∈ C N and a randomly chosen set of freque...

2006 IEEE Transactions on Information Theory 15472 citations

Sparsity and incoherence in compressive sampling

Emmanuel J. Candès , Justin Romberg

We consider the problem of reconstructing a sparse signal x^0\\in{\\bb R}^n from a limited number of linear measurements. Given m randomly selected samples of Ux0, where U is an...

2007 Inverse Problems 2068 citations

Quantitative Robust Uncertainty Principles and Optimally Sparse Decompositions

Emmanuel J. Candès , Justin Romberg

2005 Foundations of Computational Mathematics 501 citations

Frequent Co-Authors

Emmanuel J. Candès

California Institute of Technology

Terence Tao

University of California, Los Angeles

Researcher Info

h-index: 3
Publications: 3
Citations: 18,041
Institution: California Institute of Technology

External Links

Google Scholar

Impact Metrics

h-index 3

h-index: Number of publications with at least h citations each.