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• W4385694579 abstract "Orthogonal matching pursuit (OMP) is a widely used greedy algorithm for sparse signal recovery in compressed sensing (CS). Prior work on OMP, however, has only provided reconstruction guarantees under the assumption that the columns of the CS matrix have equal norms, which is unrealistic in many practical CS applications due to hardware constraints. In this paper, we derive sparse recovery guarantees with OMP, when the CS matrix has unequal column norms. Finally, we show that CS matrices whose column norms are comparable achieve tight guarantees for the successful recovery of the support of a sparse signal and a low mean squared error in the estimate." @default.
• W4385694579 created "2023-08-10" @default.
• W4385694579 creator A5003504954 @default.
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• W4385694579 date "2023-07-02" @default.
• W4385694579 modified "2023-09-27" @default.
• W4385694579 title "Analysis of Orthogonal Matching Pursuit for Compressed Sensing in Practical Settings" @default.
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• W4385694579 doi "https://doi.org/10.1109/ssp53291.2023.10207984" @default.
• W4385694579 hasPublicationYear "2023" @default.
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