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- W2079359569 abstract "Over the past decades, numerous efforts have been attempted to enhance the resolution and accuracy of surface ground-penetrating radar (GPR) data by employing blind deconvolution techniques. The fact that most GPR source wavelets utilized in practice are non-minimum phase presents some challenges for blind deconvolution of GPR data. This letter formulates blind deconvolution of GPR data as a sparsity promoted optimization problem, which extends classical minimum entropy deconvolution (MED) strategy and provides a general-purpose framework of blind deconvolution of GPR data. And then an alternating iterative method is explored to solve the derived non-convex optimization problem. Experimental results demonstrate that the proposed methodology is very effective, efficient and flexible." @default.
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- W2079359569 date "2013-11-01" @default.
- W2079359569 modified "2023-09-24" @default.
- W2079359569 title "Generalized MED blind deconvolution of GPR data and its sparsity-promoted solution" @default.
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- W2079359569 doi "https://doi.org/10.1109/apmc.2013.6695012" @default.
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