134 citations · 452 across the 11 of their papers we have counts for
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3 papers · 1 filter
math.CA2004★ 4 cited
Quantitative Robust Uncertainty Principles and Optimally Sparse Decompositions
Emmanuel Candes, Justin Romberg
We develop a robust uncertainty principle for finite signals in C^N which states that for almost all subsets T,W of {0,...,N-1} such that |T|+|W| ~ (log N)^(-1/2) N, there is no si…
math.CA2004★ 60 cited
Near Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
Emmanuel Candes, Terence Tao
Suppose we are given a vector in . How many linear measurements do we need to make about to be able to recover to within precision in the Euclidean ()…
math.AP2004★ 4 cited
The Curvelet Representation of Wave Propagators is Optimally Sparse
Emmanuel J. Candes, Laurent Demanet
This paper argues that curvelets provide a powerful tool for representing very general linear symmetric systems of hyperbolic differential equations. Curvelets are a recently devel…