Abstract: Non-blind deconvolution aims to restore a sharp image from its blurred counterpart given an obtained kernel. Existing deep neural architectures are often built based on large datasets of ...
Abstract: The detection of cyclic impulsive components, which serve as crucial indicators for extracting bearing faults, from vibration signals holds significant importance in fault diagnosis. The ...
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