Abstract: Rolling bearings commonly operate under varying operation states. Deep transfer learning (DFL) models are commonly used for fault diagnosis in such cases. Balancing their accuracy and ...
Abstract: The paper carries out an in-depth investigation on the neural decoder design for protograph low-density parity-check (LDPC) codes. To be specific, based on the model-driven method, we ...