In this paper, we first utilize the interleaved single-carrier frequency division multiplexing (I-SC-FDM) scheme with a novel sparse weight-initiated deep neural network (SWI-DNN) equalizer for und…
In this paper, we demonstrate up to 260-GBaud single-wavelength coherent transmission by employing an optical transmitter based on two wide-bandwidth devices: a novel 260-GS/s arbitrary waveform ge…
Nowadays, the demand for high-speed information transmission is increasing rapidly. Visible light communication (VLC) based on light-emitting diodes (LEDs) is supposed as a potential candidate for …
Transmitter dispersion eye closure quaternary (TDECQ) is one of the most important parameters that can systematically evaluate the signal quality of four-level pulse amplitude modulation format (PA…
High-spatial-resolution distributed sensing at high temperature is crucial in many industrial areas, such as aero-engines, nuclear power, furnaces, and fuel cells. Here, we propose and demonstrate …
We are concerned with using user-tagged images to learn proper hashing functions for image retrieval. The benefits are two-fold: (1) we could obtain abundant training data for deep hashing models; …
Modeling event patterns is a central task in a wide range of disciplines. In applications such as studying human activity patterns, events often arrive clustered with sporadic and long periods of i…
To date, Ho 3+ -doped fluoride fibers have been investigated as a viable route for deep-red fiber lasers. However, high output performance deep-red fiber lasers around 750 nm have been proven chall…
How to evaluate Pareto front approximations generated by multi/many-objective optimizers is a critical issue in the field of multiobjective optimization. Currently, there exist two types of compreh…
Deep reinforcement learning (DRL) has been introduced to the routing and spectrum assignment (RSA) of elastic optical networks (EONs) where the RSA policies are learnt during the interaction of a D…