Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Yiqi Bai"'
Publikováno v:
Sensors, Vol 24, Iss 9, p 2846 (2024)
Orthogonal chirp division multiplexing (OCDM) offers a promising modulation technology for shallow water underwater acoustic (UWA) communication systems due to multipath fading resistance and Doppler resistance. To handle the various channel distorti
Externí odkaz:
https://doaj.org/article/48e4109ba401460081f48355b0067834
Autor:
Yiqi Bai, Pierre-Jean Bouvet
Publikováno v:
Sensors, Vol 18, Iss 11, p 3815 (2018)
The objective of this study is to investigate a novel Underwater Acoustic Communication (UWAC) system based on a modulated chirp signal termed as Orthogonal Chirp Division Multiplexing (OCDM). Originating from the Fresnel transform, OCDM uses chirp s
Externí odkaz:
https://doaj.org/article/33f124efb6274bba9fb74182a958ddd0
Publikováno v:
Journal of Fluids and Structures. 119:103873
Autor:
Haoyu Wang, Huimin Xu, Jianqiao Chang, Yiqi Bai, Yunchao Li, Xiaohong Li, Wenjing Xie, Yang Zhang, Louzhen Fan
Publikováno v:
SCIENTIA SINICA Chimica.
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
Applied Acoustics. 175:107820
In the scenario of UAC(Underwater Acoustic Communication) between the USV(Unmanned Surface Vehicle) and underwater node, the affection originated from sea surface random fluctuation to UAC system stability cannot be neglected due to the small size of
Publikováno v:
The Journal of the Acoustical Society of America. 148:2769-2769
In underwater acoustic communication systems, channel characteristics are mainly affected by changes in space and time. The changes embody the random fluctuations of the seabed and sea surface, and the effects of refraction and scattering caused by s
Publikováno v:
Computational Social Networks. 2
Dealing with big data in computational social networks may require powerful machines, big storage, and high bandwidth, which may seem beyond the capacity of small labs. We demonstrate that researchers with limited resources may still be able to condu
Publikováno v:
KDIR
Automatically categorizing news articles with high accuracy is an important task in an automated quick news system. We present two classifiers to classify news articles based on Labeled Latent Dirichlet Allocation, called LLDA-C and SLLDA-C. To verif
Publikováno v:
Proceedings of the 8th International Conference on Mobile Multimedia Communications.
Hypertext transfer protocol (HTTP) video streaming is a growing and increasingly important data traffic type in wireless and mobile networks. Experiments have shown that the quality of experience (QoE) of this service strongly depends on the number o