One of the central See examples of compressive L1-MAGIC is a collection of MATLAB routines for solving Download A nonlinear sampling theorem by: Emmanuel Candes, Justin Romberg, and Terence Tao To appear in IEEE Transactions on Information Theory, February 2006. The central result from this paper is that a sparse Fourier domain observations. More precisely, let f be a length-N discrete signal which has B nonzero components (we stress that the number and locations of the components are unknown a priori). We collect samples at K different frequencies which are randomly selected. Then for K on the order of B log N, we can recover f perfectly (with very high probability) through l1 minimization. Download
Near-optimal signal recovery and the Uniform Uncertainty by: Emmanuel Candes and Terence Tao Submitted to IEEE Transactions on Information Theory, November 2004. This paper derives precise conditions for when an Download
Stability This paper demonstrates that the recovery procedure Download
Statistical Estimation by: Emmanuel Candes and Terence Tao Submitted to IEEE Transactions on Information Theory, June 2005. When the errors made in the measurement process are Download
Linear Decoding This paper demonstrates that in addition to recovering Download
Finding Sparse Decompositions by: Emmanuel Candes and Justin Romberg To appear in Foundations of Computational Mathematics, 2006. This paper revisits the now classical application Download The Rice University Robert Terence Martin Martin David Brady’s Duke |