A powerful machine learning detector based on the k-nearest neighbors (KNN) algorithm is
proposed to overcome system impairments. The zero-dispersion link (ZDL), dispersion …

This work proposes a probabilistic shaping scheme for optical WDM systems, where
nonlinear interference noise depends on the input optical signal power distribution. With …

Nonlinearity mitigation based on the enhanced split-step Fourier method (ESSFM) for the
implementation of low-complexity digital backpropagation (DBP) is investigated and …

We experimentally assess the performance versus complexity tradeoff of advanced split-step
and Volterra-based digital backpropagation (DBP) techniques, applied to a WDM (75-GHz …

Using digital backpropagation (DBP) based on the split step Fourier method (SSFM) aided
by a memory polynomial (MP) model, we demonstrate an improved DBP approach for fiber …

Stochastic digital backpropagation (SDBP) is an extension of digital backpropagation (DBP)
and is based on the maximum a posteriori principle. SDBP takes into account noise from the …

Signal Processing Techniques for Reducing the Impact of Fiber Nonlinearities on System
Performance Page 1 Th4F.5.pdf OFC 2016 © OSA 2016 Signal Processing Techniques for …

A low-complexity and adaptive nonlinearity estimation module is proposed and
experimentally demonstrated based on Godard's error and low-pass filter (LPF). The …

The operation of multidomain and multivendor EONs can be achieved by interoperable
sliceable bandwidth variable transponders (S-BVTs), a GMPLS/BGP-LS-based control …

We propose a simplified analytical model for the estimation of nonlinearity mitigation using
spectral inversion. We demonstrate excellent agreement between analytical model and …