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• W2161104013 abstract "For constructing the support set of a sparse vector in the standard compressive sensing framework, we develop a hybrid greedy pursuit algorithm that combines the advantages of serial and parallel atom selection strategies. In an iterative framework, the hybrid algorithm uses a joint sparsity information extracted from the independent use of serial and parallel greedy pursuit algorithms. Through experimental evaluations, the hybrid algorithm is shown to provide a significant improvement for the support set recovery performance." @default.
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• W2161104013 date "2011-08-01" @default.
• W2161104013 modified "2023-10-02" @default.
• W2161104013 title "Hybrid greedy pursuit" @default.
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