Reducing computational complexity of neural networks in optical channel equalization: from concepts to implementation

HIGHLIGHTS

  • who: Coherent Detection. et al. from the (UNIVERSITY) have published the paper: Reducing Computational Complexity of Neural Networks in Optical Channel Equalization: From Concepts to Implementation, in the Journal: (JOURNAL)
  • what: -In this paper a new methodology is proposed that allows for the low-complexity development of neural network (NN) based equalizers for the mitigation of impairments in highspeed optical transmission systems. The authors provide a comprehensive description and comparison of various deep model compression approaches that have been applied to feed-forward and recurrent NN designs. The authors evaluate the influence these strategies have . . .

     

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