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• W2011024669 abstract "It has been shown that iterative re-weighted strategies will often improve the performance of many sparse reconstruction algorithms. However, these strategies are algorithm dependent and cannot be easily extended for an arbitrary sparse reconstruction algorithm. In this paper, we propose a general iterative framework and a novel algorithm which iteratively enhance the performance of any given arbitrary sparse reconstruction algorithm. We theoretically analyze the proposed method using restricted isometry property and derive sufficient conditions for convergence and performance improvement. We also evaluate the performance of the proposed method using numerical experiments with both synthetic and real-world data." @default.
• W2011024669 created "2016-06-24" @default.
• W2011024669 creator A5005565135 @default.
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• W2011024669 date "2015-03-01" @default.
• W2011024669 modified "2023-10-16" @default.
• W2011024669 title "An iterative framework for sparse signal reconstruction algorithms" @default.
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• W2011024669 doi "https://doi.org/10.1016/j.sigpro.2014.09.023" @default.
• W2011024669 hasPublicationYear "2015" @default.
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