Zobrazeno 1 - 10
of 3 328
pro vyhledávání: '"LI Hongbin"'
Publikováno v:
Nanophotonics, Vol 12, Iss 20, Pp 3871-3881 (2023)
Conventional meta-atom designs rely heavily on researchers’ prior knowledge and trial-and-error searches using full-wave simulations, resulting in time-consuming and inefficient processes. Inverse design methods based on optimization algorithms, su
Externí odkaz:
https://doaj.org/article/2cb69c9aac4249bc9e83e21920605f24
Autor:
Zhou, Xinyi, Zhang, Cheng, Zhang, Xiaoyu, Zuo, Yi, Zhang, Zixuan, Wang, Feifan, Chen, Zihao, Li, Hongbin, Peng, Chao
Miniaturized (mini-) spectrometers are highly desirable tools for chemical, biological, and medical diagnostics because of their potential for portable and in situ spectral detection. In this work, we propose and demonstrate a mini-spectrometer that
Externí odkaz:
http://arxiv.org/abs/2411.13353
We consider a distributed detection problem within a wireless sensor network (WSN), where a substantial number of sensors cooperate to detect the existence of sparse stochastic signals. To achieve a trade-off between detection performance and system
Externí odkaz:
http://arxiv.org/abs/2411.03612
Publikováno v:
Guan'gai paishui xuebao, Vol 40, Iss 1, Pp 115-122 (2021)
【Background】The effects of potential climate change on water flow in rivers have been well documented but with the focus putting on precipitation and potential evapotranspiration (PET). There is a lack of study on the impact of individual meteoro
Externí odkaz:
https://doaj.org/article/a938734a50e44066a94024d98ce578cf
In the paper, we consider the line spectral estimation problem in an unlimited sensing framework (USF), where a modulo analog-to-digital converter (ADC) is employed to fold the input signal back into a bounded interval before quantization. Such an op
Externí odkaz:
http://arxiv.org/abs/2408.06597
Publikováno v:
IEEE Wireless Communications Letters ( Early Access ) 28 October 2024
Movable antenna (MA) is a new technology which leverages local movement of antennas to improve channel qualities and enhance the communication performance. Nevertheless, to fully realize the potential of MA systems, complete channel state information
Externí odkaz:
http://arxiv.org/abs/2408.04951
This work addresses the problem of intelligent reflecting surface (IRS) assisted target sensing in a non-line-of-sight (NLOS) scenario, where an IRS is employed to facilitate the radar/access point (AP) to sense the targets when the line-of-sight (LO
Externí odkaz:
http://arxiv.org/abs/2407.02160
Millimeter wave/Terahertz (mmWave/THz) communication with extremely large-scale antenna arrays (ELAAs) offers a promising solution to meet the escalating demand for high data rates in next-generation communications. A large array aperture, along with
Externí odkaz:
http://arxiv.org/abs/2404.05544
Federated learning (FL) is a machine learning paradigm that targets model training without gathering the local data dispersed over various data sources. Standard FL, which employs a single server, can only support a limited number of users, leading t
Externí odkaz:
http://arxiv.org/abs/2402.18018
This research aims to accelerate the inference speed of large language models (LLMs) with billions of parameters. We propose \textbf{S}mart \textbf{P}arallel \textbf{A}uto-\textbf{C}orrect d\textbf{E}coding (SPACE), an innovative approach designed fo
Externí odkaz:
http://arxiv.org/abs/2402.11809