Orthogonal Matching Pursuit: a sparse reconstruction algorithm.
This is a greedy algorithm that can reconstruct any sparse signal from
incomplete set of measurements. The reconstruction is exact for any
linear measurements satisfying the Uniform Uncertainty Principle.
This algorithm was developed and analysed in this paper
joint with my graduate student Deanna Needell. This basic code was
written by Deanna Needell. Systematic version is under construction.
representations and vector quantization. Under construction. Based on this paper joint with