A custom silicon-photonic recurrent spectral filter, used as a two-node optical pre-processor with a simple digital equalizer, keeps 32-GBd PAM-4 C-band IM/DD transmission below FEC thresholds up to 100 km.
Recent Advances on Machine Learning-aided DSP for Short-reach and Long-haul Optical Communications
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
abstract
In this paper, we highlight recent advances in the use of machine learning for implementing equalizers for optical communications. We highlight both algorithmic advances as well as implementation aspects using conventional and neuromorphic hardware.
citation-role summary
background 1
citation-polarity summary
fields
physics.optics 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Integrated recurrent optical spectral slicer for equalization of 100-km C-band IM/DD transmission
A custom silicon-photonic recurrent spectral filter, used as a two-node optical pre-processor with a simple digital equalizer, keeps 32-GBd PAM-4 C-band IM/DD transmission below FEC thresholds up to 100 km.