Highly Dispersive Germanium-Doped Coupled Ring-Core Fiber for Vortex Modes
In this work, we propose and design a germanium-doped highly dispersive coupled ring-core fiber (HD-CRF) with two concentric high-index rings for vortex modes. By using a full-vector finite-element…
Narrow Linewidth Semiconductor Laser Based on Anti-Symmetric Bragg Grating
We present a new configuration of narrow linewidth semiconductor lasers (NLSLs) based on a novel narrow-band reflector (NBR) with π phase-shifted anti-symmetric Bragg grating (π-ASBG). Based on t…
Deep Reinforcement Learning-Based Policy for Baseband Function Placement and …
In this paper, we propose a deep reinforcement learning (DRL)-based algorithm to generate policies of Baseband Function (BBF) placement and routing. In order to explore the performance of the propo…
A Cost-Effective Edge Coupler With High Polarization Selectivity for Thin Fil…
Thin film lithium niobate on insulator (LNOI), as an emerging photonic material, provides a promising platform to realize compact, high-speed, and high-efficient electro-optic (EO) modulators. Howe…
Photonics-Based Simultaneous Angle of Arrival and Frequency Measurement Syste…
A photonics-based system for simultaneous angle of arrival (AOA) and frequency measurement is proposed and demonstrated. In the proposed system, an acousto-optic modulator (AOM) based optical frequ…
Adaptive Genetic Algorithm-Aided Neural Network With Channel State Informatio…
Channel state information (CSI) can provide phase and amplitude of multichannel subcarrier to better describe signal propagation characteristics. Therefore, CSI has become one of the most commonly …
Bridging the Gap Between Computational Photography and Visual Recognition
What is the current state-of-the-art for image restoration and enhancement applied to degraded images acquired under less than ideal circumstances? Can the application of such algorithms as a pre-p…
Smoothing Spline Semiparametric Density Models
Density estimation plays a fundamental role in many areas of statistics and machine learning. Parametric, nonparametric, and semiparametric density estimation methods have been proposed in the lite…
An Optimal High-Order Tensor Method for Convex Optimization
This paper is concerned with finding an optimal algorithm for minimizing a composite convex objective function. The basic setting is that the objective is the sum of two convex functions: the first…
Pricing Timer Options : Second-Order Multiscale Stochastic Volatility Asympto…
We study the pricing of timer options in a class of stochastic volatility models, where the volatility is driven by two diffusions—one fast mean-reverting and the other slowly varying. Employing …
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