Within a context of C+L band transmission, this work proposes a design approach for Raman pumps in hybrid fiber amplifiers (HFAs) with the goal of maximizing the total system capacity. First, the o…
The integration density of photonic integrated circuits (PICs) is significantly limited by the waveguide bend losses. Reducing waveguide losses by design of the geometry of waveguide bends is impor…
Machine learning (ML) has been widely used for physical layer modeling in optical networks for its high accuracy and efficient calculation structure. However, traditional ML-based methods purely re…
Multiview stereopsis (MVS) methods, which can reconstruct both the 3D geometry and texture from multiple images, have been rapidly developed and extensively investigated from the feature engineerin…
The coherent digital subcarrier multiplexing (DSCM) has recently been proposed as a cost saving solution to realize flexible and scalable point-to-multipoint (PTMP) networks. In this work, a hardwa…
The linear spline model is able to accommodate nonlinear effects while allowing for an easy interpretation. It has significant applications in studying threshold effects and change-points. However,…
This article examines the cross-country asset pricing implications of disaster risk concerns. We construct a new disaster risk index, relying on six news-implied rare disaster proxies of Manela and…
Chromatic dispersion enhanced spectrum aliasing, a nonlinear effect in the frequency domain, is theoretically analyzed under symbol-rate sampling conditions, and the relationship between its nonlin…
The success of categorical data clustering generally much relies on the distance metric that measures the dissimilarity degree between two objects. However, most of the existing clustering methods …
An accurate quality of transmission (QoT) estimation can help to reduce the design margin of optical network planning. The physical layer impairments (PLI) modeling can be the basis of QoT estimati…