Performance Enhancement of W-Band RoF System Using 4D Trellis Coded Modulatio…

In the paper, a four-dimensional trellis-coded modulation 16-quadrature amplitude modulation-orthogonal frequency division multiplexing (4D TCM 16QAM-OFDM) combined with precoding scheme is propose…

High-Speed Photodetector With Simultaneous Electrical Power Generation

We demonstrate a novel 850 nm high-speed photodetector for simultaneous high-speed data acquisition and electrical power generation from the optical signal. The device is based on GaAs/AlGaAs modif…

Nanosecond Fiber Laser Step-Tunable From 3.87 to 4.5 μm in HBr-Filled Hollow…

We report here a wavelength widely step-tunable nanosecond 4 μm fiber laser based on HBr-filled hollow-core fibers (HCFs), which is pumped by an acousto-optic modulated narrow linewidth 2 μm thul…

One-Time Pad Strategy Combined With Dynamic Key Embedding and Multi-Level Cha…

Chaotic encryption is a potential scheme for the communication security of radio-over-fiber (RoF) system. In this paper, a one-time pad strategy combined with dynamic key embedding and multi-level …

A Uniform Spectral Analysis for a Preconditioned All-at-Once System from Firs…

Solving evolutionary equations in a parallel-in-time manner is an attractive topic. The iterative algorithm based on the block α-circulant preconditioning technique has shown promising advantages,…

High-Performance InP-Based Bias-Tunable Near-Infrared/Extended-Short Wave Inf…

In this paper, a vertical stacked near-infrared (NIR) and extended short wavelength infrared (eSWIR) dual-band detector based on InGaAs and In 0.53 Ga 0.47 As/GaAs 0.5 Sb 0.5 type-II superlattice (…

Towards High-Power Densely Step-Tunable Mid-Infrared Fiber Source From 4.27 t…

Soft-glass fiber lasers have attracted lots of attentions as they are most likely to achieve compact, stable, and highly efficient mid-infrared emission, which has unique applications in many field…

Heterogeneous Few-Shot Model Rectification With Semantic Mapping

There still involve lots of challenges when applying machine learning algorithms in unknown environments, especially those with limited training data. To handle the data insufficiency and make a fu…

Conditional Gradient Methods for Convex Optimization with General Affine and …

Conditional gradient methods have attracted much attention in both machine learning and optimization communities recently. These simple methods can guarantee the generation of sparse solutions. In …

InP-Based Extended-Short Wave Infrared Heterojunction Phototransistor