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• W2101581845 abstract "For compressive sensing (CS) recovery of Gaussian sparse signal, we explore the framework of Bayesian linear models to achieve a robust reconstruction performance in the presence of measurement noise. Using a priori statistical knowledge, we develop a minimum mean square error (MMSE) estimation based iterative greedy search algorithm. Through experimental evaluations, we show that the new algorithm provides a robust CS reconstruction performance compared to an existing least square based algorithm." @default.
• W2101581845 created "2016-06-24" @default.
• W2101581845 creator A5041348422 @default.
• W2101581845 creator A5043099254 @default.
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• W2101581845 date "2011-01-01" @default.
• W2101581845 modified "2023-10-04" @default.
• W2101581845 title "Robust matching pursuit for recovery of Gaussian sparse signal" @default.
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• W2101581845 doi "https://doi.org/10.1109/dsp-spe.2011.5739251" @default.
• W2101581845 hasPublicationYear "2011" @default.
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