Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Zhaorui Zhu"'
Publikováno v:
IET Image Processing, Vol 17, Iss 12, Pp 3541-3550 (2023)
Abstract According to the fact that single‐modal data usually contain limited information, a great deal of effort has been devoted to making use of the complementary information contained in the multi‐modal data on various patterns. Thus, this pa
Externí odkaz:
https://doaj.org/article/b0fa5730812f47c7bec45e395b18dacc
Publikováno v:
IET Communications, Vol 16, Iss 11, Pp 1315-1324 (2022)
Abstract Numerous researches on communication receiver design with deep learning algorithms have been implemented effectively recently. In this paper, an innovative scheme is proposed to construct an end‐to‐end neural network (NN) receiver to dir
Externí odkaz:
https://doaj.org/article/846c974cb54344488c7552fe8e85e5b8
Publikováno v:
Photonics, Vol 9, Iss 3, p 190 (2022)
In this letter, we construct the neural network (NN)-based transceiver to compensate for the varying inter-symbol-interference (ISI) effect in visible light communication (VLC) systems. For processing variable-length sequences, the convolution neural
Externí odkaz:
https://doaj.org/article/ef23fb6b130c447a893c907b952834dd
Publikováno v:
IEEE Transactions on Communications. 71:2685-2697
Publikováno v:
IEEE Transactions on Cognitive Communications and Networking. 9:317-331
Autor:
Zhaorui Zhu, Quanxue Gao
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 32:8744-8755
Publikováno v:
IEEE Communications Letters. 26:597-601
Publikováno v:
2022 IEEE 22nd International Conference on Communication Technology (ICCT).
Publikováno v:
Advances in Social Science, Education and Humanities Research.
Publikováno v:
Electronics; Volume 11; Issue 18; Pages: 2907
The current deep learning (DL)-based Specific Emitter Identification (SEI) methods rely heavily on the training of massive labeled data during the training process. However, the lack of labeled data in a real application would lead to a decrease in t