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As a major concern, the existence of unwanted energy and missing traces in seismic data acquisition can degrade interpretation of such data after processing. Instead of analytical dictionaries, data-driven dictionary learning (DDL) methods as a flexible framework for sparse representation, are dedicated to the problem of denoising and interpolation. Due to their meaningful geometric repetitive structures,...
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