We propose and demonstrate a convolutional neural network (CNN)-based equalizer for bipolar PAM signals in IM-DD systems. Experimental results show that the CNN achieves a gain of about 5 dB, effectively compensating for transceiver impairments. © 2025 The Authors.
Experimental Demonstration of Convolutional Neural Network Equalization for BPAM in IM-DD Systems
Ramin Solaimani
;Luca Potì
2025-01-01
Abstract
We propose and demonstrate a convolutional neural network (CNN)-based equalizer for bipolar PAM signals in IM-DD systems. Experimental results show that the CNN achieves a gain of about 5 dB, effectively compensating for transceiver impairments. © 2025 The Authors.File in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
