Deep learning as a highly efficient tool for digital signal processing design

Deep learning as a highly efficient tool for digital signal processing design

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Abstract The backpropagation algorithm, the most widely used algorithm for training artificial Cyclist Accessories - Triathlon - Accessories neural networks, can be effectively applied to the development of digital signal processing schemes in the optical fiber transmission systems.Digital signal processing as a deep learning framework can Cookie Cutter lead to a new highly efficient paradigm for cost-effective digital signal processing designes with low complexity.