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Showing 1 to 2 of 2 for “"Iterative shrinkage and thresholding"”.
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Fast superresolution based on a network structure trained using sparse coding
… signals forms the cornerstone of our approach and the goal is to obtain resolution enhancement of the low resolution images. I will discuss various dictionary learning methods and also a joint dictionary training approach. Superresolution is used to enhance the resolution of low quality and low …
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Inertial iterative thresholding with applications to sparse and low-rank signal recovery
… with a class of methods known collectively as iterative thresholding algorithms. These methods have been used by researchers for several decades to solve various optimization problems that arise in signal processing, inverse problems, pattern recognition and other related fields. One such …