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TIT
2010
171views Education» more  TIT 2010»
12 years 11 months ago
Analysis of orthogonal matching pursuit using the restricted isometry property
Orthogonal matching pursuit (OMP) is the canonical greedy algorithm for sparse approximation. In this paper we demonstrate that the restricted isometry property (RIP) can be used f...
Mark A. Davenport, Michael B. Wakin
CORR
2010
Springer
181views Education» more  CORR 2010»
13 years 4 months ago
Sparse Recovery with Orthogonal Matching Pursuit under RIP
This paper presents a new analysis for the orthogonal matching pursuit (OMP) algorithm. It is shown that if the restricted isometry property (RIP) is satisfied at sparsity level O...
Tong Zhang
TSP
2010
12 years 11 months ago
Block-sparse signals: uncertainty relations and efficient recovery
We consider efficient methods for the recovery of block-sparse signals--i.e., sparse signals that have nonzero entries occurring in clusters--from an underdetermined system of line...
Yonina C. Eldar, Patrick Kuppinger, Helmut Bö...
CORR
2010
Springer
130views Education» more  CORR 2010»
13 years 4 months ago
Phase Transitions for Greedy Sparse Approximation Algorithms
A major enterprise in compressed sensing and sparse approximation is the design and analysis of computationally tractable algorithms for recovering sparse, exact or approximate, s...
Jeffrey D. Blanchard, Coralia Cartis, Jared Tanner...