Machine learning techniques relevant for nonlinearity mitigation, carrier recovery, and
nanoscale device characterization are reviewed and employed. Markov Chain Monte Carlo …

Intrachannel nonlinearity is considered a major distortion in high-capacity transmission
systems particular for the case without inline optical chromatic dispersion compensation. In …

This paper treats tracking as a foreground/background classification problem and proposes
an online semi-supervised learning framework. Initialized with a small number of labeled …

The Volterra series transfer function (VSTF), in which the input-output relationship of a
nonlinear system is represented by a series of nonlinear kernel functions, is an elegant tool …

This tutorial discusses the design and ASIC implementation of coherent optical transceivers.
Algorithmic and architectural options and tradeoffs between performance and …

Two different optical processing units have been designed in the proposed manuscript. They
are integrated together to get different arithmetic and logical functions like half adder, NOT …

We present a detailed statistical model of nonlinear interference noise (NLIN) in optical
communication systems. We demonstrate an efficient method of calculating second-order …

Nonlinear distortion (noise) limits many communication systems, demanding a means of
estimating system performance via device nonlinear characteristics. The noise power ratio …

We propose a learning-based digital back propagation (LDBP) technique that addresses
self-phase modulation (SPM) and cross-phase modulation (XPM) of a wavelength-division …

For probabilistic amplitude shaping (PAS), we propose a super-symbol transmission method
that improves fiber nonlinearity tolerance. A simple fiber nonlinearity low-pass filtering …