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In this paper, we consider the problem of compressed sensing where the goal is to recover almost all the sparse vectors using a small number of fixed linear measurements. For this problem, we propose ...
Improved RIP Analysis of Orthogonal Matching Pursuit
compressive sensing sparse approximation orthogonal matching pursuit restricted isometry property greedy algorithms error bounds
2011/3/25
Orthogonal Matching Pursuit (OMP) has long been considered a powerful heuristic for attacking compressive sensing problems; however, its theoretical development is, unfortunately, somewhat lacking. Th...