Bi-LSTM emulator trained on measured waveforms models VCSEL PAM-4 systems with NMSE below 0.04 and uses transfer learning plus weight interpolation for 20x faster adaptation to new regimes.
Machine Learning- based Model for Defining Circuit-level Parameters of VCSEL,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SP 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
VCSEL-based PAM-4 transmission system emulator: A data-driven deep learning perspective
Bi-LSTM emulator trained on measured waveforms models VCSEL PAM-4 systems with NMSE below 0.04 and uses transfer learning plus weight interpolation for 20x faster adaptation to new regimes.