Zobrazeno 1 - 10
of 300
pro vyhledávání: '"Li, Yuzhou"'
Matrix-variate time series data are increasingly popular in economics, statistics, and environmental studies, among other fields. This paper develops regularized estimation methods for analyzing high-dimensional matrix-variate time series using bilin
Externí odkaz:
http://arxiv.org/abs/2410.11320
TransDetector: A Transformer-Based Detector for Underwater Acoustic Differential OFDM Communications
Inter-carrier interference (ICI) and noise mitigation is crucial for precise signal detection in underwater acoustic (UWA) differential orthogonal frequency division multiplexing (DOFDM) communication systems. In this paper, we adopt the Transformer
Externí odkaz:
http://arxiv.org/abs/2306.17392
Publikováno v:
In Journal of Dentistry October 2024 149
This paper addresses the problem of frequency-domain inter-carrier interference (ICI) mitigation for differential orthogonal frequency-division multiplexing (OFDM) systems. The classical fractional fast Fourier transform (F-FFT), adopting the fixed s
Externí odkaz:
http://arxiv.org/abs/2110.05129
Autor:
Tuerhong, Kamoran, Liu, Kehao, Shen, Danfeng, Zhang, Qianyu, Huang, Qi, Yang, Mingcong, Huang, Ziyu, Wang, Lu, Yang, Sheng, Li, Yuzhou
Publikováno v:
In Heliyon 30 June 2024 10(12)
Autor:
Xiang, Kai, Ren, Mingxing, Liu, Fengyi, Li, Yuzhou, He, Ping, Gong, Xuerui, Chen, Tao, Wu, Tianli, Huang, Ziyu, She, Hui, Liu, Kehao, Jing, Zheng, Yang, Sheng
Publikováno v:
In Ecotoxicology and Environmental Safety 1 June 2024 277
Autor:
Chen, Tao, Ren, MingXing, Li, YuZhou, Jing, Zheng, Xu, XinXin, Liu, FengYi, Mo, DingQiang, Zhang, WenXue, Zeng, Jie, Zhang, He, Ji, Ping, Yang, Sheng
Publikováno v:
In Materials Today Bio June 2024 26
Autor:
Huang, Yunlong, Li, Yuzhou
Suppressing the inter-carrier interference (ICI) is crucial for differentially coherent detection in underwater acoustic (UWA) orthogonal frequency division multiplexing (OFDM) systems due to the fact that the UWA channel is inherently violently Dopp
Externí odkaz:
http://arxiv.org/abs/2103.04341
In this paper, by exploiting the powerful ability of deep learning, we devote to designing a well-performing and pilot-saving neural network for the channel estimation in underwater acoustic (UWA) orthogonal frequency division multiplexing (OFDM) com
Externí odkaz:
http://arxiv.org/abs/2103.04345
Autor:
Jing, Zheng, Li, Yuzhou, Zhang, He, Chen, Tao, Yu, Jinrui, Xu, Xinxin, Zou, Yulong, Wang, Xu, Xiang, Kai, Gong, Xuerui, He, Ping, Fu, Yiru, Ren, Mingxing, Ji, Ping, Yang, Sheng
Publikováno v:
In Redox Biology November 2023 67