CLC number: TN919.8
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2018-08-09
Cited: 0
Clicked: 5886
Rong-xin Zhang, Xiao-li Ma, De-qing Wang, Fei Yuan, En Cheng. Underwater video transceiver designs based on channel state information and video content[J]. Frontiers of Information Technology & Electronic Engineering, 2018, 19(8): 984-998.
@article{title="Underwater video transceiver designs based on channel state information and video content",
author="Rong-xin Zhang, Xiao-li Ma, De-qing Wang, Fei Yuan, En Cheng",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="19",
number="8",
pages="984-998",
year="2018",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.1700767"
}
%0 Journal Article
%T Underwater video transceiver designs based on channel state information and video content
%A Rong-xin Zhang
%A Xiao-li Ma
%A De-qing Wang
%A Fei Yuan
%A En Cheng
%J Frontiers of Information Technology & Electronic Engineering
%V 19
%N 8
%P 984-998
%@ 2095-9184
%D 2018
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.1700767
TY - JOUR
T1 - Underwater video transceiver designs based on channel state information and video content
A1 - Rong-xin Zhang
A1 - Xiao-li Ma
A1 - De-qing Wang
A1 - Fei Yuan
A1 - En Cheng
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 19
IS - 8
SP - 984
EP - 998
%@ 2095-9184
Y1 - 2018
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.1700767
Abstract: Underwater hostile channel conditions challenge video transmission designs. The current designs often treat video coding and transmission schemes as individual modules. In this study, we develop an adaptive transceiver with channel state information (CSI) by taking into account the importance of video components and channel conditions. The design is more effective than the traditional ones. However, in practical systems, perfect CSI may not be available. Therefore, we compare the imperfect CSI case with existing schemes, and validate the effectiveness of our design through simulations and measured channels in terms of a better peak signal-to-noise ratio and a higher video structural similarity index.
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