Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Xinwei Yao"'
Publikováno v:
Tongxin xuebao, Vol 39, Pp 150-159 (2018)
Energy harvesting (EH) has been considered as a promising technology to solve the constrained energy problem in the devices of IoT with its advantages of flexible deployment and sustainable energy supply.For multiple access channel with energy harves
Externí odkaz:
https://doaj.org/article/d70bbcb56a7640419ab38de152008cc8
Publikováno v:
IEEE Access, Vol 6, Pp 47511-47520 (2018)
In this paper, we propose a novel diffusion robust variable step-size least mean square (DRVSS-LMS) algorithm that is insensitive to impulsive noise for distributed estimation in the network. Conventional diffusion least mean square algorithms are ba
Externí odkaz:
https://doaj.org/article/23df4cbbe40e459b9a081f04efabd66f
Publikováno v:
Dianxin kexue, Vol 31, Pp 30-38 (2015)
In view of the problem that current algorithm mainly research on topology construction or topology maintenance separately，a topology control algorithm based on two processes combined was proposed，which was adaptive to the network with heterogeneo
Externí odkaz:
https://doaj.org/article/83541c178a9347de989d64fda8143706
Publikováno v:
Dianxin kexue, Vol 31, Pp 98-105 (2015)
A novel opportunistic-network-coding-based retransmission approach was proposed.According to the feedback on packet loss from the receiving nodes,this novel approach can not only efficiently select a combination of lost packets through Hash lookup fo
Externí odkaz:
https://doaj.org/article/424fd37f86d3477aa6d9b292df85bebd
Publikováno v:
PLoS Computational Biology, Vol 13, Iss 6, p e1005589 (2017)
Genetic risk prediction is an important goal in human genetics research and precision medicine. Accurate prediction models will have great impacts on both disease prevention and early treatment strategies. Despite the identification of thousands of d
Externí odkaz:
https://doaj.org/article/dc29016c98c148d58055d7de75ffcedd
Publikováno v:
IEEE Transactions on Communications. 71:1755-1770
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89b93a2c9bc77e25852dabe78cfccf57
https://doi.org/10.1109/tcomm.2023.3237854
https://doi.org/10.1109/tcomm.2023.3237854
Publikováno v:
Wireless Communications and Mobile Computing. 2022:1-10
In the wireless powered communication network (WPCN), the deployed nodes that harvest energy from the power station (PS) and then transmit data to the access point (AP) may waste wireless information transmission (WIT) opportunities due to the suffer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb6e1eae96b442ed49752d598d83f209
https://doi.org/10.1155/2022/2532905
https://doi.org/10.1155/2022/2532905
Publikováno v:
China Communications. 19:274-290
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07d48b7e3c3da3d1d71634c3f1c13884
https://doi.org/10.23919/jcc.2022.04.020
https://doi.org/10.23919/jcc.2022.04.020
Publikováno v:
2022 IEEE International Conference on Image Processing (ICIP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::57f7ddcfbe5558f74146eb3844352f77
https://doi.org/10.1109/icip46576.2022.9897764
https://doi.org/10.1109/icip46576.2022.9897764
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. :1-12
The topic of identification for sparse vector in a distributed way has triggered great interest in the area of adaptive filtering. Grouping components in the sparse vector has been validated to be an efficient way for enhancing identification perform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d102783cf3cab35e342ee89af5e017ff
https://doi.org/10.1109/tnnls.2021.3131335
https://doi.org/10.1109/tnnls.2021.3131335