Abstract: A new modeling framework integrating Ramer–Douglas–Peucker (RDP) nonuniform sampling (NUS) with a long short-term memory (LSTM)-fully connected network (FCN) hybrid neural network (LFN) is ...
Abstract: The sparsity-regularized linear inverse problem has been widely used in many fields, such as remote sensing imaging, image processing and analysis, seismic deconvolution, compressed sensing, ...
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