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Your search keyword '"Ping, Yi‐Fan"' showing total 13 results
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13 results on '"Ping, Yi‐Fan"'

1. Research on Total Probability Digital Channelization Technique Without Blind Zone

Author

Ma, Ding-kun, Du, Yu, Xu, Chang-Zhi, Shao, Ying-zhao, Wang, Su-jun, Ping, Yi-Fan, Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin (Sherman), Editorial Board Member, Stan, Mircea, Editorial Board Member, Jia, Xiaohua, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, Wu, Qihui, editor, Zhao, Kanglian, editor, and Ding, Xiaojin, editor

Published
2021
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2. Space-Borne Multifunctional Integrated Hardware Processing Platform Design

Author

Ping, Yi-Fan, Wang, Su-jun, Wen, Wei, Xu, Chang-zhi, Shao, Ying-zhao, Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin (Sherman), Editorial Board Member, Stan, Mircea, Editorial Board Member, Jia, Xiaohua, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, Wu, Qihui, editor, Zhao, Kanglian, editor, and Ding, Xiaojin, editor

Published
2021
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9. The capacity kernel of communication networks

Author

Kai Cai, Rongquan Feng, Wen tu Song, and Ping yi Fan

Subjects
business.industry, Link (geometry), Topology, Telecommunications network, Upper and lower bounds, Capacity factor, Set (abstract data type), Kernel (statistics), Linear network coding, Artificial intelligence, business, Subnetwork, Computer Science::Information Theory, Mathematics
Abstract

The capacity factor, as a useful tool, was used to characterize the dependence of every link on the capacity changes of a network coding based network. In this paper, we shall investigate the relationship between the network capacity and the set of capacity factors. We firstly introduce a new concept, the capacity kernel, which is a subnetwork deduced from the original network. It will be shown that the capacity kernel of a network maintains most important capacity-related properties of the original network. The capacity kernel can also deduce a projection operator, which to the best of our knowledge, is the first known projection operator acting on the space of all the communication networks. We further introduce and discuss the properties of the C-contra links based on the capacity kernel. As an application, a tighter upper bound on the capacity factor size is then obtained.

Published
2013

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