HIGHLIGHTS
- who: XXXX. and collaborators from the Carleton University, Ottawa, ON, Canada have published the research work: MetNet: A Novel Low-complexity Neural Network Aided Detection for Faster-Than-Nyquist (FTN) Signalling in ISI Channels, in the Journal: (JOURNAL)
- what: The authors propose lowcomplexity neural network structure for calculating the branch metrics and the authors explore its suitability for with channel uncertainty. The authors compare the proposed network which the authors call the Metric Net (MetNet) to benchmark neural network-based technique for metric calculation the ViterbiNet which was originally designed for ISI channels. The authors . . .
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