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• W2018768992 abstract "For compressive sensing, we endeavor to improve the atom selection strategy of the existing orthogonal matching pursuit (OMP) algorithm. To achieve a better estimate of the underlying support set progressively through iterations, we use a least squares solution based atom selection method. From a set of promising atoms, the choice of an atom is performed through a new method that uses orthogonal projection along-with a standard matched filter. Through experimental evaluations, the effect of projection based atom selection strategy is shown to provide a significant improvement for the support set recovery performance, in turn, the compressive sensing recovery." @default.
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• W2018768992 date "2012-02-01" @default.
• W2018768992 modified "2023-10-02" @default.
• W2018768992 title "Projection-based atom selection in orthogonal matching pursuit for compressive sensing" @default.
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• W2018768992 doi "https://doi.org/10.1109/ncc.2012.6176797" @default.
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