Autoencoder-based deep learning is applied to jointly optimize geometric...
We present a simple, efficient "direct learning" approach to train Volte...
We present a novel autoencoder-based learning of joint geometric and
pro...
We report on theoretical and experimental investigations of the nonlinea...
Commercial coherent receivers utilize balanced photodetectors (PDs) with...
We present a novel end-to-end autoencoder-based learning for coherent op...
We investigate methods for experimental performance enhancement of
auto-...
We investigate end-to-end optimized optical transmission systems based o...
Optical nonlinear Fourier transform-based communication systems require ...
We perform an experimental end-to-end transceiver optimization via deep
...
In this paper, we apply deep learning for communication over dispersive
...
We consider spatially coupled low-density parity-check codes with finite...
In the presence of additive Gaussian noise, the statistics of the nonlin...
Multi-soliton pulses are potential candidates for fiber optical transmis...
Spectral amplitude modulation for dual-polarization multi-soliton
transm...
We present an efficient, fast and robust Nonlinear Fourier Transform (NF...
Multi-soliton pulses, as special solutions of the Nonlinear Schroedinger...
We consider dual-polarized optical multi-soliton pulse transmission.
Mod...
For Nonlinear-Frequency Division-Multiplexed (NFDM) systems, the statist...
In this work, we formulate the fixed-length distribution matching as a
B...
We show a non-negligible cross-talk between nonlinear modes in Nonlinear...
We consider a nonlinear Fourier transform (NFT)-based transmission schem...