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…
It is appealing but challenging to achieve real-time deep neural network (DNN) inference on mobile devices, because even the powerful modern mobile devices are considered as “resource-constrained…
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…
Fiber optofluidic lasers (FOFLs) have attracted considerable research attention in the field of biochemical sensing due to their merits such as high sensitivity, low sample consumption, and real-ti…
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…
Optical microresonators supported whispering gallery modes (WGMs) are one of the most cost-effective platforms for optical frequency comb generated due to their advantages of ultra-high quality ( Q…
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 …
Edge intelligence is an emerging paradigm for real-time training and inference at the wireless edge, thus enabling mission-critical applications. Accordingly, base stations (BSs) and edge servers (…
Designing effective architectures is one of the key factors behind the success of deep neural networks. Existing deep architectures are either manually designed or automatically searched by some Ne…
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,…