We propose a new signaling scheme for on-chip optical-electrical-optical artificial neural
networks that utilizes orthogonal delay-division multiplexing and pilot-tone-based self …

A novel nonlinear equalizer based on a multiple-input multiple-output (MIMO) deep neural
network (DNN) is proposed and experimentally demonstrated for compensation of inter …

We propose a novel low-complexity artificial neural network (ANN)-based nonlinear
equalizer (NLE) for coherent optical orthogonal frequency-division multiplexing (CO-OFDM) …

This paper performs a detailed, multi-faceted analysis of key challenges and common
design caveats related to the development of efficient neural networks (NN) based nonlinear …

Digital-based artificial neural network (ANN) machine learning is harnessed to reduce fiber
nonlinearities, for the first time in ultra-spectrally-efficient optical fast orthogonal frequency …

This paper proposes a nonlinear equalization technique enabled by long short-term memory
(LSTM) recurrent neural networks. The proposed technique is implemented at the end of …

This paper presents a novel background compensation technique of nonlinear distortions in
time-interleaved analog-to-digital converters (TI-ADC). The proposed scheme is based on …

This article reports the application of an equalizer based on an artificial neural network
(ANN), in the form of nonlinear waveform regression, to mitigate nonlinear impairments in …

For the first time, multi-task learning is proposed to improve the flexibility of NN-based
equalizers in coherent systems. A" single" NN-based equalizer improves Q-factor by up to 4 …

Feasibility toward tera-sample/s all-optical ADC using NOLM and its promising applications
such as front-end processor of EDC for above 100 Gbit/s optical transmission systems are …